I’m a sustainable business practitioner; first from the perspective of state & global policy, then at a major endowment, followed by a few years decking at Bain & Co., published a book along the way, and founded an agtech venture (raised +$15m). I now write a climate tech newsletter (15,000+ readers) and invest in early stage companies.
Climate Change AI Directory
Welcome to the (beta version of the) CCAI directory, a searchable list of people with experience and/or interest in doing impactful work at the intersection of climate change and machine learning.
You are currently viewing the public-facing list, but more information might be visible once you log in (or sign up)!
Our goal for this tool is to help users build connections, collaborations, and careers. If you have feedback or suggestions for improvements, please contact us at info@climatechange.ai!
Updated | 🤖 | Name | Affiliation | Location | Short Bio | Links | Interests/Experience | Seeking/Offering |
---|---|---|---|---|---|---|---|---|
2024-11-19
|
|
Alexa Fernando
|
University of British Columbia
|
Canada
|
||||
2024-11-19
|
|
Alejandro
|
The Alan Turing Institute
|
London
|
||||
2024-11-19
|
|
Akram Zaytar
|
Microsoft AI for Good
|
|||||
2024-11-19
|
|
David Rojas Rueda
|
Colorado State University
|
United States
|
||||
2024-11-19
|
|
Ayush Prasad
|
Finnish Meteorological Institute
|
Helsinki, Finland
|
||||
2024-10-17
|
|
Shakil Khan
|
Dhaka School of Economics & IIT Madras
|
Dhaka, Bangladesh
|
||||
2024-10-15
|
|
Christian Eduardo Valencia Albitres
|
Perú
|
|||||
2024-10-15
|
|
Daniel Martinez
|
Universidad Autonoma de Occidente
|
Cali, Colombia
|
||||
2024-10-15
|
|
Sebastien Floodpage
|
Google.org
|
Zurich, Switzerland
|
||||
2024-10-15
|
|
Desmond Botchway
|
Student
|
Ghana
|
||||
2024-10-15
|
|
Kennedy Kamande Wangari
|
The United Nations
|
Gigiri, Nairobi, Kenya
|
||||
2024-10-15
|
|
tom abeles
|
sagancity, inc (US)
|
United States
|
||||
2024-09-16
|
|
Ambar Nag
|
University of California, Davis
|
Davis, CA, United States
|
||||
2024-09-15
|
|
Adolfo Perez-Duran
|
Orange Monk Labs
|
Boulder CO
|
||||
2024-09-11
|
|
Jean Claude Akarikumutima
|
Faminga
|
Rwanda
|
||||
2024-09-11
|
|
Megan Chen
|
Ministry of Environment of Panama
|
Panama, Panama City
|
||||
2024-09-11
|
|
Alagesan A
|
Tamil Nadu Agricultural University
|
INDIA
|
||||
2024-09-11
|
|
Aditya Manglik
|
ETH Zurich
|
Zurich, Switzerland
|
||||
2024-09-11
|
|
Louis Petit
|
Université de Sherbrooke
|
Canada
|
||||
2024-09-11
|
|
Nguyen-Dat
|
Paris (France)
|
|||||
2024-09-11
|
|
Rodrigo Almeida
|
ex-Jua, DevelopmentSeed, UP42, Planet
|
Berlin
|
||||
2024-09-11
|
|
Ella Jewison
|
France
|
|||||
2024-09-11
|
|
Ruimin Ma
|
||||||
2024-09-11
|
|
Muskan Irfan
|
University of Management and Technology, Sialkot, Pakistan.
|
Sialkot
|
||||
2024-08-07
|
|
Xerxes Tengra
|
Neural Alpha
|
United Kingdom
|
||||
2024-08-07
|
|
Crystal Soo
|
Data In Power
|
New York City
|
||||
2024-08-07
|
|
Madhurima Sarkar-Swaisgood
|
United Nations, ESCAP
|
United States
|
||||
2024-08-07
|
|
RODRIGUES KWATE KWATE
|
Canada
|
|||||
2024-08-07
|
|
Luis Castro
|
Canada
|
|||||
2024-08-07
|
|
Clay Rosenthal
|
San Francisco, CA, USA
|
|||||
2024-07-26
|
|
Ananiya Abebe
|
Samrawit
|
Addis Ababa
|
||||
2024-07-01
|
|
Noemi Vergopolan
|
Rice University
|
United States
|
||||
2024-07-01
|
|
David Tew
|
Step Function LLC
|
USA & Netherlands
|
||||
2024-07-01
|
|
Valentina Puddu
|
London, UK
|
|||||
2024-07-01
|
|
Pankaj
|
AWS Amazon
|
|||||
2024-07-01
|
|
Terence Hill
|
PHIUS
|
|||||
2024-07-01
|
|
Solomon Ali
|
||||||
2024-07-01
|
|
Erin Yener (Jones
|
United States
|
|||||
2024-06-19
|
|
Maggie Dong
|
United States
|
|||||
2024-06-19
|
|
Anmol Chaure
|
Assistant Professor
|
India
|
||||
2024-06-19
|
|
Yusuf Nasir Ahmad
|
HealStoc
|
Nigeria
|
||||
2024-06-19
|
|
Francis muthengi
|
Dedan kimathi University of technology
|
Kenya
|
||||
2024-06-19
|
|
akshara kaginalkar
|
former senior director at C-DAC India
|
Pune India and Singapore
|
||||
2024-06-17
|
|
Sawsan Abdulbari
|
Finland
|
|||||
2024-06-12
|
|
Behzad Ansarinejad
|
Melbourne, Australia
|
|||||
2024-06-12
|
|
Bingbing Zhao
|
central south university
|
China
|
||||
2024-06-12
|
|
Leonardo Sampieri
|
-
|
Argentina
|
||||
2024-06-12
|
|
Jing Sun
|
Delft University of Technology
|
The Netherlands
|
||||
2024-06-12
|
|
Mariette Awad
|
||||||
2024-06-12
|
|
Tod Hynes
|
MIT
|
Boston
|
||||
2024-06-12
|
|
Victor Barone
|
Brasil
|
|||||
2024-06-12
|
|
Tahir Deniz Ozustun
|
Istanbul & Amsterdam
|
|||||
2024-06-12
|
|
Dalia Eissa
|
Damietta University, Egypt
|
Egypt
|
||||
2024-05-31
|
|
Luis Gerardo Carvajal
|
Siemens Energy
|
Puebla, Mexico
|
||||
2024-05-14
|
|
Élise Comeau
|
Université du Québec à Montréal (UQAM) | Centre ESCER
|
Montreal, Canada
|
||||
2024-05-14
|
|
Jerry Huang
|
Harvard
|
United States
|
||||
2024-05-14
|
|
Coroiu
|
UBB
|
Romania
|
||||
2024-05-14
|
|
Lakshmi Babu Saheer
|
Anglia Ruskin University
|
United Kingdom
|
||||
2024-05-14
|
|
Donald
|
Egerton University
|
Nakuru
|
||||
2024-05-14
|
|
Ashish Papanai
|
Wadhwani AI
|
Delhi, India
|
||||
2024-05-02
|
|
Swati Rajwal
|
Emory University
|
USA
|
||||
2024-04-23
|
|
Mariam samy mekhaiel
|
Egyptian Russian university
|
Egypt
|
||||
2024-04-23
|
|
Kenaya Komba
|
Student
|
Kenya
|
||||
2024-04-23
|
|
Salma Elgezawy
|
Faculty of Artificial Intelligence, Menoufia University
|
Egypt
|
||||
2024-04-23
|
|
Gilbert BISENGO
|
Rwanda
|
|||||
2024-04-16
|
|
Shivani Manivasagan
|
Harvey Mudd College
|
United States
|
||||
2024-04-16
|
|
OMER EISA HAMID KHALIFA
|
PhD researcher at Sungkyunkwan University South Korea
|
South Korea
|
||||
2024-04-16
|
|
namwinwelbere dabire
|
université d'Amobey Calavi
|
Ouagadougou
|
||||
2024-04-16
|
|
Anusha Sethuraman
|
San Francisco Bay Area
|
|||||
2024-04-16
|
|
Fredrick Kariuki
|
Nairobi, Kenya
|
|||||
2024-04-16
|
|
Daniel Vazquez Sanz
|
Asociacion Huella de Carbono (Spain)
|
Gava, Barcelona, Spain
|
||||
2024-04-16
|
|
Shiwaditya
|
MIT World Peace University (MIT-WPU), Pune, India
|
Pune, India
|
||||
2024-04-16
|
|
Mohamed Samy Mohamed El Sobkey
|
Egypt
|
|||||
2024-04-16
|
|
KPOGNON Yaovi Ricardo
|
||||||
2024-04-16
|
|
Abdullahi Uba Ayuba
|
Bayero University Kano
|
Nigeria
|
||||
2024-04-16
|
|
AYEDJO Djima
|
Togo
|
|||||
2024-03-31
|
|
Ajani Ibrahim Tunde
|
Malaysia
|
|||||
2024-03-31
|
|
Mr Yaya SYLLA
|
SaH Analytics
|
Côte d ´Ivoire
|
||||
2024-03-31
|
|
Stefano
|
Founder
|
Brussels
|
||||
2024-03-31
|
|
Pratyush Pandey
|
Birla Institute of Technology & Science, Pilani
|
India
|
||||
2024-03-31
|
|
Lupita Fernanda Clavijo Clavijo
|
||||||
2024-03-31
|
|
CHIFUNDO ROBERT
|
YOFONAT
|
Lilongwe, Malawi
|
||||
2024-03-31
|
|
Benjamin Lewis
|
AiFA Labs
|
United States
|
||||
2024-03-31
|
|
Kunal Khurana
|
Montréal
|
|||||
2024-03-31
|
|
Pandarasamy Arjunan
|
Indian Institute of Science
|
Bangalore
|
||||
2024-03-14
|
|
Quentin Paletta
|
European Space Agency
|
Rome, Italy
|
||||
2024-02-27
|
|
McLain Faett
|
New York, NY
|
|||||
2024-02-27
|
|
Mohammed Kasim
|
Mr
|
Ethiopia
|
||||
2024-02-25
|
|
Michail Mitsakis
|
Athens, Greece
|
|||||
2024-02-23
|
|
Jiyong Eom
|
KAIST
|
Republic of Korea
|
||||
2024-02-23
|
|
Rogelio Barrios Rosas
|
REACCIONA
|
Mexico
|
||||
2024-02-23
|
|
Bashir Olalekan Abubakar
|
United Kingdom
|
|||||
2024-02-15
|
|
Jinzhu Yu
|
University of Texas at Arlington
|
USA
|
||||
2024-02-15
|
|
Ghjulia Sialelli
|
ETH Zurich
|
Zurich
|
||||
2024-02-02
|
|
Guillaume Dumas
|
University of Montréal
|
Canada
|
||||
2024-02-02
|
|
IMED-EDDINE HAOULI
|
Badji Mokhtar Annaba University
|
Annaba, Algeria
|
||||
2024-02-02
|
|
Rohit Maitri
|
ABN AMRO bank
|
Netherlands
|
||||
2024-02-02
|
|
Ion Gradea
|
Ecole Centrale Nantes, School 42 (education)
|
Paris, France
|
||||
2024-02-02
|
|
Hardik Malik
|
Faculty of Law, University of Delhi
|
Delhi, India
|
||||
2024-02-02
|
|
Kara Moraw
|
EPCC
|
Edinburgh, UK
|
||||
2024-02-02
|
|
Akshay Suresh
|
Freelance AI Researcher
|
India
|
||||
2024-02-02
|
|
Amirreza Pourfatollah
|
Politecnico di Torino
|
Italy
|
||||
2024-02-02
|
|
Aaron Martin
|
CCAI
|
New York, NY
|
||||
2024-02-02
|
|
Arvind Kumar
|
India
|
|||||
2024-02-02
|
|
Roy Saurabh
|
Université de Paris Cité
|
France
|
||||
2024-02-02
|
|
Joshua Loughman
|
Climate Interative
|
Phoenix, AZ
|
||||
2024-02-02
|
|
Hua Cai
|
Purdue University
|
USA
|
||||
2024-02-02
|
|
Viktor Todosijevic
|
RWTH Aachen University
|
Germany
|
||||
2024-02-02
|
|
César Quilodrán-Casas
|
Department of Earth Science and Engineering, Imperial College London
|
London
|
||||
2024-02-02
|
|
Dominik Ehlert
|
adelphi research gGmbH
|
Berlin, Germany
|
||||
2024-02-02
|
|
Itai Epstein
|
McGill University
|
Montréal, QC
|
||||
2024-02-02
|
|
Richard McKinney
|
University of Oxford
|
Oxford
|
||||
2024-02-02
|
|
Neeraj Kumar
|
New York City
|
|||||
2024-01-05
|
|
Andrew Williams
|
Mila
|
Montreal
|
||||
2024-01-02
|
|
George Sideratos
|
National Technical University of Athens
|
Athens
|
||||
2023-12-20
|
|
Gang Huang
|
Zhejiang University
|
|||||
2023-12-06
|
|
Kianoush
|
ÉTS
|
|||||
2023-12-06
|
|
Abdullah Akhtar
|
Pakistan
|
|||||
2023-12-02
|
|
Abdishakur
|
Jamhuriye University
|
Mogadishu
|
||||
2023-11-29
|
|
Afsoon Soudi
|
Toronto Metropolitan University
|
Toronto, Canada
|
||||
2023-11-29
|
|
Maryam Rahnemoonfar
|
Lehigh University
|
United States
|
||||
2023-11-29
|
|
Dhalavai N
|
Rajalakshmi Institute of technology
|
India
|
||||
2023-11-29
|
|
Guadalupe Ruiz
|
Barcelona
|
|||||
2023-11-29
|
|
Aditi Roy
|
Bangladesh
|
|||||
2023-11-29
|
|
Avisek Naug
|
Hewlett Packard Enterprise
|
San Jose
|
||||
2023-11-29
|
|
Aycha Tammour
|
Ontario, Canada
|
|||||
2023-10-26
|
|
Jake Wigal
|
Climate Change AI
|
Irvine, CA
|
||||
2023-10-24
|
|
Avi Chudasama
|
Newtral.io
|
Bengaluru, India
|
||||
2023-10-24
|
|
Abhi Suri
|
Hitachi Vantara
|
Reston, Virginia
|
||||
2023-10-17
|
|
Nicolas Leiva
|
Sapucay
|
Argentina
|
||||
2023-10-17
|
|
Tim Hunter
|
ABN Amro Bank
|
Netherlands
|
||||
2023-10-17
|
|
Roman Kos
|
Art Of Green Path
|
Sollentuna, Sweden and Remote
|
||||
2023-10-17
|
|
Anil Sawhney
|
RICS
|
New York
|
||||
2023-10-17
|
|
Emiel Cockx
|
Genvision
|
Belgium & New York
|
||||
2023-10-04
|
|
Erwin Rose
|
U.S. Department of State; UN Climate Technology Centre & Network
|
Washington, DC
|
||||
2023-10-04
|
|
Samara
|
Prolific
|
London
|
||||
2023-10-01
|
|
Akshay Kalra
|
Delhi, India
|
|||||
2023-10-01
|
|
Maira Elahi
|
TIVEA ("Transparent, Integrity-driven, Value-based, Ethical, Accountable")
|
Canada
|
||||
2023-10-01
|
|
Maximilian Rossi
|
Google Cloud Sustainability via Chesamel
|
United Kingdom
|
||||
2023-10-01
|
|
Ken Briggs
|
Source 2050
|
Parkland, Florida
|
||||
2023-09-11
|
|
Lee Jaehyeong
|
None
|
South Korea
|
||||
2023-09-11
|
|
Maria Jose DuarteTorres
|
universidad nacional de colombia
|
Colombia
|
||||
2023-09-08
|
|
Sodiq Jinad
|
Nigeria
|
|||||
2023-09-08
|
|
Tobias Lanzky
|
Denmark
|
|||||
2023-09-08
|
|
Francis Murray
|
Swiss Federal Institute of Technology (EPFL)
|
Lausanne, Switzerland
|
||||
2023-09-01
|
|
Chris Dean
|
Brighton, United Kingdom
|
|||||
2023-09-01
|
|
Jerry Chen
|
University of Cambridge
|
United Kingdom
|
||||
2023-09-01
|
|
Vinicius Silva
|
Brazil
|
|||||
2023-08-30
|
|
Sara El Mekkaoui
|
DNV
|
Oslo, Norway
|
||||
2023-08-28
|
|
Dan Campbell
|
The Green AI Foundation
|
Providence, RI, USA
|
||||
2023-07-27
|
|
Alex
|
Mila
|
Montreal
|
||||
2023-07-21
|
|
Johannes Leon Kirnberger
|
OECD
|
Paris
|
||||
2023-07-17
|
|
Vivek Pandit
|
Microsoft
|
Berkeley, CA
|
||||
2023-07-17
|
|
Yuxuan Cai
|
UC berkeley
|
|||||
2023-07-17
|
|
Piyush Yadav
|
Hong Kong University of Science and Technology
|
Hong Kong
|
||||
2023-07-17
|
|
Weld Lucas Cunha
|
phd
|
Brazil
|
||||
2023-07-17
|
|
Đurđica V.
|
University of Rijeka
|
Croatia
|
||||
2023-07-17
|
|
Bill Eger
|
Arlington County
|
Arlington County, Virginia
|
||||
2023-07-17
|
|
Soumya Bhattacharyya
|
||||||
2023-07-17
|
|
Bartosz Boguslawski
|
Schneider Electric
|
France
|
||||
2023-07-17
|
|
Harshal Nandigramwar
|
University of Stuttgart
|
Stuttgart, Germany
|
||||
2023-07-17
|
|
Stephen Haben
|
Energy Systems Catapult
|
UK
|
||||
2023-07-03
|
|
Helen Jackson
|
ClimateNode
|
Cambridge, UK
|
||||
2023-06-14
|
|
Kelvin Kwok
|
Technical University of Munich, Germany
|
Germany
|
||||
2023-06-14
|
|
Seth Nyawacha
|
Technical University of Kenya
|
Kenya
|
||||
2023-06-14
|
|
Dina Rasquinha
|
WWF
|
USA
|
||||
2023-06-05
|
|
Jesús M. Siqueiros
|
IIMAS-UNAM
|
Mérida, Yucatán
|
||||
2023-06-05
|
|
Ivan Tigana
|
Indonesia
|
|||||
2023-05-30
|
|
Maya Nalliah
|
University of California, Berkeley
|
Seattle, WA
|
||||
2023-05-30
|
|
KANOUO Christin Micael
|
Université de Yaoundé
|
Cameroun
|
||||
2023-05-30
|
|
Edward Chen
|
Idemitsu Renewables
|
San Francisco
|
||||
2023-05-30
|
|
Salem Afeworki
|
Value Sustainability
|
California, USA
|
||||
2023-05-19
|
|
Zachary Labe
|
Princeton University & NOAA GFDL
|
Princeton, NJ
|
||||
2023-05-16
|
|
Rafay Ahmed
|
||||||
2023-05-16
|
|
Miguel
|
University of Edinburgh
|
Edinburgh
|
||||
2023-05-09
|
|
Guannan
|
Peking University
|
Beijing
|
||||
2023-05-09
|
|
Ankur Narang
|
Sigmoidstar
|
New Delhi
|
||||
2023-05-08
|
|
Zhenning Yang
|
University of Michigan
|
Ann Arbor, MI
|
||||
2023-05-08
|
|
Bharathan Balaji
|
Amazon
|
Seattle
|
||||
2023-04-26
|
|
Mark Johnson
|
SilvaCarbon Anayltics
|
Portland Oregon, USA
|
||||
2023-04-21
|
|
MEIYI LI
|
UT Austin
|
Austin
|
||||
2023-04-21
|
|
Helena Yu
|
Toronto, Canada
|
|||||
2023-04-21
|
|
Matias Quintana
|
Singapore-ETH Centre (SEC)
|
Singapore
|
||||
2023-04-21
|
|
Nicholas Hughes
|
USA
|
|||||
2023-04-21
|
|
Hassan Rostam
|
California
|
|||||
2023-04-21
|
|
Nathan Kiner
|
Sunjul
|
Berlin, Germany
|
||||
2023-04-21
|
|
Simon Maris
|
Hochschule Trier
|
Leipzig / Trier
|
||||
2023-04-06
|
|
Akansha Singh Bansal
|
Gro Intelligence
|
San Francisco, CA
|
||||
2023-03-21
|
|
Bobin Wang
|
Laval University
|
Canada
|
||||
2023-03-15
|
|
Khaled Mohamad
|
Researcher
|
South Africa
|
||||
2023-03-15
|
|
Peter Oseghale Ohue
|
University of Ibadan
|
Nigeria
|
||||
2023-03-15
|
|
Oscar Rodriguz
|
Estudiante
|
Bogota Colombia
|
||||
2023-03-15
|
|
Moshood Olawale Mustapha
|
StrikeClimate
|
Nigeria
|
||||
2023-02-28
|
|
Rufai Yusuf Zakari
|
Universiti Brunei Darussalam
|
Brunei Darussalam
|
||||
2023-02-26
|
|
Giannis Tolios
|
Independent Researcher
|
Thessaloniki, Greece
|
||||
2023-02-21
|
|
Mother Earth AI
|
Berlin
|
|||||
2023-02-21
|
|
Osama Hadba
|
Istanbul, TR
|
|||||
2023-02-21
|
|
dinesh Kumar Mahto
|
MNIT Jaipur
|
Jaipur, India
|
||||
2023-02-21
|
|
Shuo Wang
|
Beijing Normal University
|
Beijing
|
||||
2023-02-21
|
|
Carolina Soriano
|
||||||
2023-02-21
|
|
Jie Zhao
|
Technische Universität München
|
|||||
2023-02-13
|
|
Ding Ning
|
University of Canterbury
|
Christchurch, New Zealand
|
||||
2023-02-07
|
|
Begashaw Meberate
|
CEO
|
Ethiopia
|
||||
2023-01-31
|
|
Tsilavo RAKOTO
|
Madagascar
|
|||||
2023-01-31
|
|
Anurag Sharma
|
Punjab, India
|
|||||
2023-01-31
|
|
Erol Hoke
|
Apiday
|
London
|
||||
2023-01-23
|
|
Frank Stein
|
Virginia Tech
|
Virginia, US
|
||||
2023-01-23
|
|
Priya Dwivedi
|
Deep Learning Analytics, Georgia Tech, IIT Delhi
|
Toronto
|
||||
2023-01-23
|
|
AMIT KUMAR
|
INDIAN INSTITUTE OF TROPICAL METEOROLOGY, PUNE
|
INDIA
|
||||
2023-01-23
|
|
Nick Hassam
|
Reask
|
Australia
|
||||
2023-01-23
|
|
Ali Akbar Rezazadeh
|
Sharif University of Technology
|
Iran
|
||||
2023-01-23
|
|
Association internationale pour Medina-Mary (AIMM)
|
AIMM
|
Dakar (Sénégal)
|
||||
2023-01-23
|
|
Amos Olwendo
|
Lecturer at Jomo Kenyatta University of Agriculture & Technology
|
Kenya
|
||||
2023-01-23
|
|
Bruno Adriano
|
International Research Institute of Disaster Science, Tohoku University
|
Japan
|
||||
2023-01-23
|
|
Marius Wiggert
|
UC Berkeley
|
Berkeley, California, USA
|
||||
2023-01-23
|
|
Saman Halgamuge
|
University of Melbourne
|
Melbourne, Australia
|
||||
2023-01-23
|
|
Alice Lépissier
|
Brown University
|
Providence, RI
|
||||
2023-01-18
|
|
Garrett Kinman
|
McGill University
|
Montreal, QC, Canada
|
||||
2023-01-05
|
|
Alireza Shams
|
Data Scientist & Process Analytics at Svante Inc.
|
|||||
2022-12-24
|
|
SIDDHA GANJU
|
Senior Scientist Nvidia
|
|||||
2022-12-23
|
|
Harris Chalat
|
Muir AI
|
Seattle
|
||||
2022-12-23
|
|
Kunal Khurana
|
Research Assistant
|
Montréal
|
||||
2022-12-09
|
|
Peter Van Katwyk
|
Brown University
|
Providence, RI
|
||||
2022-12-09
|
|
Christopher Whidden
|
Dalhousie University
|
Halifax, Canada
|
||||
2022-12-09
|
|
Tim Sowa
|
Fulbright Finland Foundation, Tampere University, Bowdoin College
|
Finland - NYC
|
||||
2022-11-29
|
|
Kim Bente
|
University of Sydney, ARC Training Centre in Data Analytics for Resources and Environments (DARE)
|
Sydney, Australia
|
||||
2022-11-26
|
|
Davis Marques
|
Blue Carbon Pty. Ltd.
|
Melbourne, Australia
|
||||
2022-11-26
|
|
Paula Harder
|
Fraunhofer Institute, Mila
|
Germany
|
||||
2022-11-26
|
|
Joshua Tabor Dimasaka
|
University of Cambridge
|
Cambridge, United Kingdom
|
||||
2022-11-26
|
|
Sagar Garg
|
||||||
2022-11-26
|
|
Robert Murphy
|
Breakthrough Energy / Othersphere
|
BC, Canada
|
||||
2022-11-26
|
|
Marcel MAVINGA
|
CONGO D. R.
|
|||||
2022-11-22
|
|
Qianqian Zhang
|
Tsinghua University
|
Beijing,China
|
||||
2022-11-22
|
|
Björn Lütjens
|
Massachusetts Institute of Technology
|
Cambridge, MA
|
||||
2022-11-22
|
|
Dakshal Dhere
|
Individual
|
Mumbai, India
|
||||
2022-11-22
|
|
Hung-Ju Chen
|
Seattle
|
|||||
2022-11-03
|
|
Korin Carpenter
|
Denver, CO
|
|||||
2022-11-03
|
|
Monroe Stephenson
|
Reed College
|
Portland, OR
|
||||
2022-10-29
|
|
David Constantin Balongelwa
|
AE-Congo
|
DR CONGO-Kinshasa
|
||||
2022-10-29
|
|
Deva Sou
|
Independant
|
France
|
||||
2022-10-29
|
|
Martin Van der Linden
|
Emory University
|
Atlanta, GA
|
||||
2022-10-29
|
|
Aaron Wienkers
|
University of Cambridge
|
Zurich, Switzerland
|
||||
2022-09-30
|
|
Ganesh
|
Princeton University
|
Princeton
|
||||
2022-09-30
|
|
Cyril Verluise
|
College de France & QuantumBlack
|
Paris, France
|
||||
2022-09-27
|
|
Ahmad Mohassel
|
American Institutes for Research
|
Washington, D.C.
|
||||
2022-09-27
|
|
Nantas Nardelli
|
Carbon Re
|
London, UK
|
||||
2022-09-27
|
|
Irfan Alghani Khalid
|
Pekanbaru, Indonesia
|
|||||
2022-09-12
|
|
Jack Armitage
|
Intelligent Instruments Lab
|
Reykjavik, Iceland
|
||||
2022-09-12
|
|
Ankit Kumar Upadhyay
|
JSS Academy of Technical Education
|
Bengaluru, India
|
||||
2022-09-12
|
|
Rebecca Willett
|
University of Chicago
|
Chicago, IL
|
||||
2022-09-12
|
|
Sayak Mukherjee
|
Pacific Northwest National Laboratory
|
US
|
||||
2022-07-25
|
|
Pranoy Panda
|
Indian Institute of Technology Hyderabad
|
India
|
||||
2022-07-24
|
|
Jeff Clark
|
University of Bristol
|
Bristol, UK
|
||||
2022-07-20
|
|
Catarina
|
Nature Research Centre
|
Portugal
|
||||
2022-07-20
|
|
Hubert Kanyamahanga
|
ICRISAT
|
Dakar
|
||||
2022-07-20
|
|
Himanshu Sharma
|
Pacific Northwest National Laboratory
|
Chicago, IL
|
||||
2022-07-20
|
|
Gopinath Rajendiran
|
Atsuya Technologies
|
India
|
||||
2022-07-08
|
|
Dilinna Nwobi
|
CPEEL
|
Nigeria
|
||||
2022-07-08
|
|
Open Knowledge Foundation
|
Open Knowledge Foundation
|
|||||
2022-07-08
|
|
Greg Gerber
|
Quora
|
Colorado Springs, CO
|
||||
2022-07-02
|
|
Olivia Grah
|
New York
|
|||||
2022-06-17
|
|
Bhogendra Mishra
|
Science Hub
|
Nepal
|
||||
2022-06-17
|
|
Ivel Sestopal
|
Mexico, Remote
|
|||||
2022-06-17
|
|
Veronica Nieves
|
University of Valencia
|
Spain
|
||||
2022-05-27
|
|
Ukachukwu Macpherson Ifeanyi
|
Global Environmental and Climate Conservation Initiative (GECCI)
|
Nigeria
|
||||
2022-05-27
|
|
Atakan Aral
|
University of Vienna
|
Vienna, Austria
|
||||
2022-05-26
|
|
Javed Ali
|
University of Central Florida
|
Orlando, FL
|
||||
2022-05-22
|
|
Zineb Bhaby
|
||||||
2022-05-21
|
|
Kevin Joshi
|
Indian Institute of Technology Bombay, Mumbai
|
Mumbai
|
||||
2022-05-20
|
|
Sudhira HS
|
Gubbi Labs
|
Gubbi, India
|
||||
2022-05-20
|
|
Bernard Ngaruiya
|
FarmDoc
|
Kenya
|
||||
2022-05-20
|
|
Thomas Landrain
|
Just One Giant Lab
|
Paris
|
||||
2022-05-17
|
|
Diego Kiedanski
|
Yale University
|
New Haven, CT / Montevideo, UY
|
||||
2022-05-17
|
|
lucas chamorro
|
||||||
2022-05-17
|
|
Abel B.S. Gaiya
|
Clean Technology Hub
|
Abuja, Nigeria
|
||||
2022-05-16
|
|
Suraj Prasad
|
Pittsburgh, USA / New Delhi, India
|
|||||
2022-05-15
|
|
Nikhil S Bhat
|
HCC, Mumbai
|
Mumbai, Maharashtra, India
|
||||
2022-05-14
|
|
Rory Hooper
|
TU Delft
|
The Netherlands
|
||||
2022-05-14
|
|
John Musau
|
Machakos University
|
Machakos, Kenya
|
||||
2022-05-11
|
|
Isaac Kofi Nti
|
University of Energy and Natural Resources
|
Sunyani, Ghana
|
||||
2022-05-11
|
|
Al Karaki
|
Africa
|
|||||
2022-05-06
|
|
Ronald Tombe
|
Kisii University
|
Kenya
|
||||
2022-05-05
|
|
Antonio Paulo Inguane
|
Data4Moz
|
Mozambique
|
||||
2022-05-02
|
|
Romuald P. SAWADOGO
|
Centre de Production; de Formation et d'Echanges Techniques (CEPROFET)
|
Burkina Faso
|
||||
2022-04-30
|
|
Emmanuel Chukwuma
|
Nnamdi Azikiwe University
|
Awka
|
||||
2022-04-30
|
|
Ismael Ocen
|
Ocean One Social Research Centre
|
Uganda
|
||||
2022-04-30
|
|
Humphrey agevi
|
Masinde Muliro University of Science and Technology
|
Kenya
|
||||
2022-04-29
|
|
Ejim-Eze Emmanuel
|
National Centre for Tecnology Management
|
Nigeria
|
||||
2022-04-29
|
|
Olivia
|
Life Initiative for Change
|
Zambia
|
||||
2022-04-29
|
|
Dr. Emmanuel Ande Ivorgba
|
The Emmanuel Ivorgba Foundation
|
Nigeria
|
||||
2022-04-29
|
|
Denis Pastory Rubanga
|
Tokyo University of Agriculture
|
Tokyo-Japan
|
||||
2022-04-27
|
|
Kamil Mroczek
|
Elio Technologies
|
Irvine, CA
|
||||
2022-04-27
|
|
Paul Daniel
|
OYO
|
Copenhagen
|
||||
2022-03-12
|
|
paolo nesi
|
university of florence
|
Firenze
|
||||
2022-03-12
|
|
Mahrukh Niazi
|
Graduate Student at University of Toronto
|
|||||
2022-03-04
|
|
Jorge Montalvo Arvizu
|
University of Liège
|
Liège, Belgium
|
||||
2022-03-03
|
|
Karen Wang
|
Imperial College London
|
London
|
||||
2022-03-02
|
|
Wassem Alward
|
Schlumberger
|
Iraq
|
||||
2022-03-02
|
|
Thomas Loughlin
|
Engineers for a Sustainable World
|
New Jersey
|
||||
2022-02-28
|
|
Redouane Lguensat
|
IPSL / IRD / Sorbonne Univ.
|
Paris
|
||||
2022-02-23
|
|
Lee Wall
|
Florida State University
|
Tallahassee, FL
|
||||
2022-02-21
|
|
Ademola Okerinde
|
||||||
2022-02-20
|
|
Caroline Prahl
|
Inkonova
|
Sverige
|
||||
2022-02-14
|
|
Luis Blanche
|
MSc
|
France
|
||||
2022-02-11
|
|
Matteo Turchetta
|
ETH Zurich
|
CH-ZH
|
||||
2022-02-10
|
|
Asmerom Gilau
|
Epsilon Innovation Group Inc
|
Washington DC
|
||||
2022-01-25
|
|
Gargi Singh
|
Texas A&M Transportation Institute
|
TX
|
||||
2022-01-23
|
|
Tony Liu
|
University of Toronto
|
Toronto, Canada
|
||||
2022-01-19
|
|
Pierre McWhannel
|
SFU
|
Vancouver, BC, Canada
|
||||
2022-01-15
|
|
James Doss-Gollin
|
Rice University
|
Houston
|
||||
2022-01-12
|
|
Ian Foster
|
Argonne National Laboratory & University of Chicago
|
Chicago
|
||||
2022-01-11
|
|
Tse Uweja
|
University of Cambridge
|
London, UK
|
||||
2022-01-05
|
|
Jim Lee
|
BuySellRam.com
|
Orlando
|
||||
2021-12-20
|
|
Eirini Malliaraki
|
Deep Science Ventures
|
|||||
2021-12-16
|
|
David Chen
|
NY
|
|||||
2021-12-15
|
|
Bethany Lusch
|
Argonne National Laboratory
|
Lemont, IL
|
||||
2021-12-14
|
|
Derek Rollend
|
The Johns Hopkins University Applied Physics Laboratory
|
Laurel, MD
|
||||
2021-12-14
|
|
Gabriel
|
Mines ParisTech - PSL University / RTE France
|
Paris, France
|
||||
2021-12-14
|
|
Thomas Y. Chen
|
Academy for Mathematics, Science, and Engineering
|
New Jersey
|
||||
2021-12-14
|
|
Stephen Haddad
|
Met Office
|
Exeter, UK
|
||||
2021-12-12
|
|
David Dao
|
ETH Zurich
|
|||||
2021-12-08
|
|
Qiao Kang
|
Memorial University of Newfoundland
|
Newfoundland, Canada
|
||||
2021-12-07
|
|
Frederik vom Scheidt
|
Karlsruhe Institute of Technology
|
Germany
|
||||
2021-12-07
|
|
Sivaranjani Seetharaman
|
||||||
2021-11-29
|
|
Andre L. Belem
|
Universidade Federal Fluminense
|
Niteroi, RJ BRAZIL
|
||||
2021-11-29
|
|
PARTHA PRATIM SAHA
|
Birla Institute of Technology and Science, Pilani, (BITS Pilani) India
|
West Bengal
|
||||
2021-11-29
|
|
Luiza Barguil
|
XPrize Foundation
|
SP
|
||||
2021-11-22
|
|
Yan Xia
|
Zhejiang Univerisity
|
|||||
2021-11-22
|
|
Christian Igel
|
University of Copenhagen
|
Denmark
|
||||
2021-11-19
|
|
Jean Paul Maalouf
|
Freelance
|
Bordeaux, France
|
||||
2021-11-17
|
|
Elizabeth Bondi
|
Harvard University
|
Cambridge, MA, USA
|
||||
2021-11-17
|
|
Oliver Zielinski
|
German Research Center for Artificial Intelligence (DFKI)
|
Germany
|
||||
2021-11-11
|
|
Mark Codling
|
The University of the West Indies - St. Augustine
|
Country other than US or CA
|
||||
2021-11-11
|
|
Siman Ning
|
Washington
|
|||||
2021-11-09
|
|
Jianwu Wang
|
University of Maryland, Baltimore County
|
Baltimore, Maryland, United States
|
||||
2021-11-08
|
|
Vincent Mai
|
Mila - Université de Montréal
|
Montreal
|
||||
2021-11-08
|
|
Shankar Vaidhyanathan
|
Environmental Resources Management/ Colorado School of Mines
|
Austin
|
||||
2021-11-08
|
|
Luc Wuytens
|
Belgium, Leuven
|
|||||
2021-11-08
|
|
Art Prateepvanich
|
Paraclimate
|
Oakland, CA
|
||||
2021-11-03
|
|
Luis Bernardo Chicaiza
|
Bogotá, Colombia
|
|||||
2021-11-03
|
|
Jairo Torregrosa
|
Colombia
|
|||||
2021-11-02
|
|
Maria João Sousa
|
IST, ULisboa
|
Lisbon, Portugal
|
||||
2021-10-28
|
|
Victor Raul Stanilao Reyna Garcia
|
Universidad Catolica San Pablo
|
Lima
|
||||
2021-10-25
|
|
Mehdi Noori
|
Amazon ML Solutions Lab (Lead of Energy Vertical, Manager, and Senior Data Scientist)
|
New York City
|
||||
2021-10-25
|
|
Arunkumar L
|
Pegara Inc
|
India
|
||||
2021-10-19
|
|
Xikun Hu
|
KTH Royal Institute of Technology
|
Sweden
|
||||
2021-10-19
|
|
Hyunggyu Lim
|
Princeton University / NOAA-GFDL
|
NJ, US
|
||||
2021-10-19
|
|
Quoc Viet Nguyen
|
Polytechnique
|
Palaiseau, Paris
|
||||
2021-10-19
|
|
Yu Zhou
|
Northern Arizona University
|
|||||
2021-10-19
|
|
Ofir Levy
|
School of Zoology, Faculty of Life Sciences, Tel Aviv University
|
Tel Aviv, Israel
|
||||
2021-10-19
|
|
Jan Dutton
|
Prescient Weather Ltd
|
Charlottesville, VA
|
||||
2021-10-19
|
|
Shalabh Vidyarthi
|
Amazon
|
Seattle
|
||||
2021-10-07
|
|
Ramij Raja Hossain
|
Iowa State University
|
Ames, Iowa
|
||||
2021-10-06
|
|
Lijun Sun
|
McGill University
|
Montreal, QC, Canada
|
||||
2021-09-29
|
|
Andreas
|
CYENS CoE
|
Nicosia, Cyprus
|
||||
2021-09-27
|
|
Ashwin Shirsat
|
North Carolina State University
|
NC
|
||||
2021-09-23
|
|
Galen Vincent
|
Carnegie Mellon University
|
Pittsburgh, PA
|
||||
2021-09-22
|
|
Andrea
|
Stevens Institute of Technology
|
Mexico City
|
||||
2021-09-21
|
|
Sebastian Romero
|
Tracks GmbH
|
Berlin
|
||||
2021-09-21
|
|
Ish Girwan
|
UK
|
|||||
2021-09-21
|
|
Martin Röck
|
KU Leuven
|
Cologne, Germany
|
||||
2021-09-21
|
|
Dickson Lukose
|
Monash University
|
Melbourne
|
||||
2021-09-21
|
|
Yamine Bouzembrak
|
WFSR
|
NL
|
||||
2021-09-21
|
|
Zikri Bayraktar
|
Schlumberger
|
Cambridge, MA
|
||||
2021-09-21
|
|
Hillary Scannell
|
Columbia University
|
New York, NY
|
||||
2021-09-21
|
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Sophie Purdom
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Climate Tech VC
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NY
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2021-09-21
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Paul Christopher Ulrich
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Consultant
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New Haven, CT
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2021-09-13
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Abhishek Bhan
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Apple, Columbia University
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San Fransisco Bay Area
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2021-09-09
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Shanti
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UMich
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MI
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2021-09-09
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Zane Selvans
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Catalyst Cooperative
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Guanajuato, Mexico
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2021-09-03
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Olga Mierzwa-Sulima
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2021-09-03
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Neha Puri
|
Faculty AI
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London, UK
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2021-09-03
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Michael Orimogunje
|
University of Huddersfield
|
United Kingdom
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2021-09-03
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Alan Cordova
|
Fluence Energy
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San Francisco, CA
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2021-09-03
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Brian Kent
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The Crosstab Kite
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2021-09-02
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Andy Chen
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Afresh Technologies, Stanford Food Design
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2021-09-01
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Lynn Kaack
|
Hertie School
|
|||||
2021-08-27
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Olivier Asselin
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Ouranos, Montreal (CA)
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2021-08-27
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Csaba Bán
|
Bosch, ADAS Software Engineer
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2021-08-25
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Kasia Tokarska
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ETH Zurich (former postdoc)
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2021-08-23
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Tushar Gupta
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2021-08-20
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Kalyan Nadimpalli
|
International Institute of Information Technology, Bangalore
|
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2021-08-18
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Asmaa
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Vodafone
|
|||||
2021-08-18
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Jakob Heller
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deeeper.technology GmbH
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2021-08-18
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Peter Dolan
|
Waymo
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|||||
2021-08-13
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Kiana Alikhademi
|
PhD student at the University of Florida
|
|||||
2021-08-13
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Rama Ramakrishnan
|
MIT
|
|||||
2021-08-12
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Marcus Voss
|
TU Berlin, Birds on Mars
|
|||||
2021-08-10
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Nandakumar Krishnaswamy
|
||||||
2021-08-10
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Carl Boettiger
|
UC Berkeley
|
|||||
2021-08-09
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Anson Ho
|
University of St Andrews
|
|||||
2021-08-09
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|
Negin Katal
|
Max Planck Institute for Biogeochemistry
|
|||||
2021-08-07
|
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Tom Corringham
|
Scripps Institution of Oceanography, University of California San Diego
|
|||||
2021-08-05
|
|
Allison Campbell
|
Pacific Northwest National Laboratory
|
|||||
2021-08-05
|
|
Pranav Bhosale
|
BITS Pilani
|
|||||
2021-08-05
|
|
Jack Lynch
|
NC State University / Masterful AI
|
|||||
2021-08-05
|
|
Thomas Walther
|
Utrecht University
|
|||||
2021-08-05
|
|
Miguel-Ángel Fernández-Torres
|
Image and Signal Processing (ISP) Group, Image Processing Laboratory (IPL), Universitat de València, Spain
|
|||||
2021-08-05
|
|
Geneviève Patterson
|
Visual Supply Company (VSCO)
|
|||||
2021-08-03
|
|
Santonu Goswami
|
Indian Space Research Organization
|
|||||
2021-08-03
|
|
James Crowley
|
||||||
2021-08-03
|
|
Duncan Watson-Parris
|
University of Oxford
|
|||||
2021-08-01
|
|
Cengiz Avcı
|
Istanbul Technical University
|
|||||
2021-08-01
|
|
Avni Kothari
|
UC San Diego
|
|||||
2021-07-30
|
|
Heather Couture
|
Pixel Scientia Labs
|
|||||
2021-07-30
|
|
Christoph Klemenjak
|
University of Klagenfurt
|
|||||
2021-07-30
|
|
Pia Faustino
|
Thinking Machines Data Science
|
|||||
2021-07-28
|
|
Anya Schukin
|
||||||
2021-07-27
|
|
Jose Cordova-Garcia
|
ESPOL University
|
|||||
2021-07-26
|
|
Simone Nsutezo Fobi
|
Columbia University
|
|||||
2021-07-26
|
|
Tegan Maharaj
|
University of Toronto
|
|||||
2021-07-26
|
|
Jan Drgona
|
Pacific Northwest National Laboratory
|
|||||
2021-07-26
|
|
Rendani Mbuvha
|
University of Witwatersrand
|
|||||
2021-07-26
|
|
Sebastian Gerard
|
KTH Stockholm
|
|||||
2021-07-25
|
|
Nishan Srishankar
|
||||||
2021-07-25
|
|
Vivek Ramavajjala
|
DeepMind
|
|||||
2021-07-24
|
|
Thomas Soumarmon
|
Continental / DEEL.ai
|
|||||
2021-07-24
|
|
Ramit Debnath
|
University of Cambridge
|
|||||
2021-07-23
|
|
Aditya L. Ramadona
|
Department of Health Behaviour, Environment, and Social Medicine - Universitas Gadjah Mada
|
|||||
2021-07-23
|
|
Levente Klein
|
IBM Research
|
|||||
2021-07-23
|
|
Jacob Bieker
|
Open Climate Fix
|
|||||
2021-07-23
|
|
Patrick Emami
|
University of Florida
|
|||||
2021-07-23
|
|
Alex Kell
|
Imperial College London
|
|||||
2021-07-23
|
|
Florin Gogianu
|
Bitdefender
|
|||||
2021-07-23
|
|
Nathan Lambert
|
UC Berkeley
|
|||||
2021-07-23
|
|
Santosh Sharma
|
University of Central Florida
|
|||||
2021-07-23
|
|
Sasha Luccioni
|
Mila + Université de Montréal
|
|||||
2021-07-23
|
|
Merce Casas-Prat
|
Environment and Climate Change Canada
|
|||||
2021-07-23
|
|
Julian de Hoog
|
University of Melbourne
|
|||||
2021-07-23
|
|
Konstantin Klemmer
|
University of Warwick, NYU
|
|||||
2021-07-22
|
|
Hari Prasanna Das
|
UC Berkeley
|
|||||
2021-07-22
|
|
David Rolnick
|
McGill University & Mila Quebec AI Institute
|
|||||
2021-07-22
|
|
Priya Donti
|
Carnegie Mellon University
|
|||||
2021-07-09
|
|
Felipe Oviedo
|
||||||
2021-07-09
|
|
Evan David Sherwin
|
Stanford University, Energy Resources Engineering
|
|||||
2021-07-09
|
|
Peetak Mitra
|
Palo Alto Research Center
|
Simon Maris (Hochschule Trier)
Contact
- Location: Leipzig / Trier
- Twitter URL: https://twitter.com/simonmaris
- LinkedIn URL: https://www.linkedin.com/in/smaris
- Circle URL: https://community.climatechange.ai/u/7c151f4f
Sophie Purdom (Climate Tech VC)
Short Bio
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate finance, Disaster prediction, management, and relief, Industry
- Areas of Experience: Climate finance
Seeking/Offering
- Offering: Funding
Contact
- Location: NY
- Email: sophiepurdom@gmail.com
- Website: https://climatetechvc.org/
- Twitter URL: https://twitter.com/SophiePurdom
- LinkedIn URL: https://www.linkedin.com/in/sophiepurdom/
Nikhil S Bhat (HCC, Mumbai)
Short Bio
A climate, sustainability, and energy enthusiast. Passion for quizzing. Construction management professional. Cartoonist and nocturnal.
Interests/Experience
- Areas of Interest: Buildings and cities, Power and energy, Transportation, Climate and Earth science
- Areas of Experience: Buildings and cities, Transportation
- Additional details: Project management, operations, Financial modelling, Monitoring and evaluation. Assessment of infrastructure and energy supply and demand, Productivity study.
Seeking/Offering
- Seeking: Internships, Mentorship
- Offering: Data
- Additional details: Volunteering, Research opportunities in buildings and cities.
Contact
- Location: Mumbai, Maharashtra, India
- Email: bhatnikhil1984@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/nikhil-bhat-34a553139/
- Circle URL: https://community.climatechange.ai/u/928475aa
Shakil Khan (Dhaka School of Economics & IIT Madras)
Short Bio
I am passionate about leveraging data science to drive sustainable economic solutions. Currently pursuing dual degrees in Environmental Economics at the University of Dhaka and Data Science at IIT Madras, I specialize in integrating advanced analytical techniques with economic theories to address complex global challenges. My goal is to contribute to sustainable development initiatives through innovative, data-driven strategies.
Interests/Experience
- Areas of Interest: Power and energy, Carbon capture and sequestration, Climate and Earth science, Climate finance
- Areas of Experience: Time-series analysis, Climate finance
Seeking/Offering
- Seeking: Data, Employment opportunities, Research collaborations
Contact
- Location: Dhaka, Bangladesh
- Email: shakil10945@gmail.com
- Website: https://app.onlinedegree.iitm.ac.in/student/22F2000380
- Twitter URL: https://twitter.com/shakil10945
- LinkedIn URL: https://www.linkedin.com/in/shakil10945/
- Circle URL: https://community.climatechange.ai/u/9a603892?
Abel B.S. Gaiya (Clean Technology Hub)
Short Bio
Deputy research manager at Clean Technology Hub. I hold an Msc in Development Economics from SOAS, University of London. Specialize in industrial policy, the political economy of climate change, and economic history.
Interests/Experience
- Areas of Interest: Behavioral and social science, Policy, Power and energy, Societal adaptation
Contact
- Location: Abuja, Nigeria
- Email: abelgaiya@gmail.com
- Website: https://www.abelgaiya.com/
- LinkedIn URL: https://www.linkedin.com/in/abelgaiya/
Tegan Maharaj (University of Toronto)
Short Bio
I'm an Assistant Professor at the University of Toronto, and did my PhD at Mila. Research primarily in deep representation learning & predictive methods in ecological modeling and environmental risk assessment, as well as real-world generalization, learning theory, and practical auditing tools (e.g. unit tests, sandboxes). Co-founder of CCAI, current Peer Review and Publications Lead.
Interests/Experience
- Areas of Interest: Climate and Earth science, Climate justice, Disaster prediction, management, and relief, Ecosystems and natural resources, Classification, regression, and supervised learning, Hybrid physical models, Meta- and transfer learning, Unsupervised and semi-supervised learning
- Areas of Experience: Ecosystems and natural resources, Classification, regression, and supervised learning, Computer vision and remote sensing, Meta- and transfer learning, Time-series analysis, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Academic positions, Mentorship, Paid consulting, Pro-bono consulting
Contact
- Website: http://www.teganmaharaj.com
- Twitter URL: https://twitter.com/tegan_maharaj
- Circle URL: https://ccai_test.circle.so/u/b4f37e01
Rohit Maitri (ABN AMRO bank)
Short Bio
I am a data scientist currently working at a large Dutch bank. I have MS and PhD in computational fluid dynamics with focus on projects in the field of energy. I am looking to connect with the community that cares about the challenge of climate change and is passionate about leveraging data to find solutions to these challenges.
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate and Earth science, Climate finance, Disaster prediction, management, and relief
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing, Time-series analysis
Seeking/Offering
- Seeking: Data, Employment opportunities, Networking, Research collaborations
- Offering: Mentorship, Pro-bono consulting, Research collaborations
Erin Yener (Jones
Interests/Experience
- Areas of Interest: Climate finance, Climate justice, Policy, Classification, regression, and supervised learning, Data mining, Natural language processing, Recommender systems, Time-series analysis
- Areas of Experience: Climate justice, Policy, Classification, regression, and supervised learning, Data mining, Natural language processing
Seeking/Offering
- Seeking: Employment opportunities, Mentorship, Networking, Paid consulting
- Offering: Research collaborations
Contact
- Location: United States
- Email: erin.yener@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/erinyener/
Nguyen-Dat
Short Bio
A tech-savvy and empathetic leader with a talent for driving transformation and fostering creativity within the high-tech industry. As an experienced scuba diver who has witnessed the deterioration of marine environments firsthand, I am deeply passionate about climate change, particularly the protection of our oceans. With a strong commitment to continuous learning, I am actively pursuing advanced training in AI and machine learning at leading business schools while advising AI-focused companies. I firmly believe that AI has the potential to play a significant and positive role in protecting the environment and preserving our oceans for future generations.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate and Earth science, Ecosystems and natural resources, Active learning, Generative modeling
- Areas of Experience: Generative modeling
- Additional details: AI implementation strategy, AI ethics, Passionate about oceans and lifesea, Tech-savvy, digitization, transformation
Seeking/Offering
- Seeking: Mentorship, Networking, Pro-bono consulting, Startup co-founder
- Offering: Mentorship
Contact
- Location: Paris (France)
- Email: dat_nd@yahoo.fr
- LinkedIn URL: https://www.linkedin.com/in/ngdao/
Antonio Paulo Inguane (Data4Moz)
Short Bio
International Development Specialist, co-founder of Data4Moz, a data driven analytical platform for decision making on natural resources management sector in Mozambique. I have experience in policy development and implementation across various sectors, including natural resources management, land tenure and property rights, as well as environment. With a background in both public, private, and multi-national organizations, my work experience goes across multiple countries: Mozambique, United States, Zimbabwe, Angola, Madagascar, Australia, South Africa, Zambia, The Gambia, Malawi, Cameroon and Brazil. I am Portuguese speaker and have background in Spanish.
Interests/Experience
- Areas of Interest: Agriculture, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Policy, Data mining, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Agriculture, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Policy
Seeking/Offering
- Seeking: Data, Funding, Mentorship, Networking, Startup co-founder
Contact
- Location: Mozambique
- Email: ainguane@data4moz.com
- Website: https://www.data4moz.com
- Twitter URL: https://mobile.twitter.com/tonypaullo
- LinkedIn URL: https://www.linkedin.com/in/antonio-inguane-79700024/
Lupita Fernanda Clavijo Clavijo
Interests/Experience
- Areas of Interest: Agriculture, Buildings and cities, Carbon capture and sequestration, Climate and Earth science, Climate finance, Climate justice, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Industry, Policy, Power and energy, Societal adaptation, Transportation, Active learning
- Areas of Experience: Societal adaptation
- Additional details: With a degree in Circular Economy and Sustainable Development, I would like to be able to help companies and civil society in the process of sustainable transition towards a decarbonised economy.
Seeking/Offering
- Seeking: Lacuna Fund Collaborations, Networking, Pro-bono consulting, Research collaborations
- Offering: Pro-bono consulting, Research collaborations
- Additional details: I would like to know more about the solutions and research that is being developed around technology to combat climate change, decarbonization, renewable energies, etc.
Contact
Jianwu Wang (University of Maryland, Baltimore County)
Short Bio
Dr. Jianwu Wang is an Associate Professor at the Department of Information Systems, University of Maryland, Baltimore County (UMBC). He is also an affiliated faculty at the Joint Center for Earth Systems Technology (JCET), UMBC. He has published 110+ papers with more than 2100 citations (h-index: 22). He is/was associate editor or editorial board member of four international journals, conference organization committee member of eight conferences and co-chair of eight related workshops. He is also program committee member for over 40 conferences/workshops, and reviewer of over 15 journals or books. He is also an NSF CAREER awardee. His current research interests include Big Data Analytics, Distributed Computing and Scientific Workflow with application focuses on climate.
Interests/Experience
- Areas of Interest: Climate and Earth science, Causal and Bayesian methods, Classification, regression, and supervised learning, Data mining, Time-series analysis
- Areas of Experience: Causal and Bayesian methods, Data mining, Interpretable ML
- Additional details: Big data analytics, stream data analytics
Seeking/Offering
- Seeking: Funding, Research collaborations
- Offering: Mentorship, Pro-bono consulting, Research collaborations
Contact
- Location: Baltimore, Maryland, United States
- Website: https://userpages.umbc.edu/~jianwu/
- Twitter URL: https://twitter.com/jianwuwang
- LinkedIn URL: http://www.linkedin.com/in/jianwuwang
Sudhira HS (Gubbi Labs)
Short Bio
Researcher. Practitioner.
Interests/Experience
- Areas of Interest: Buildings and cities, Climate and Earth science, Ecosystems and natural resources, Forestry and other land use, Policy, Transportation, Classification, regression, and supervised learning, Computer vision and remote sensing, Unsupervised and semi-supervised learning
- Areas of Experience: Buildings and cities, Policy, Classification, regression, and supervised learning, Computer vision and remote sensing
Seeking/Offering
- Seeking: Lacuna Fund Collaborations
Contact
- Location: Gubbi, India
- Email: sudhira@gubbilabs.in
- Website: http://www.gubbilabs.in
- Twitter URL: https://twitter.com/Sudhira
- LinkedIn URL: https://www.linkedin.com/in/sudhira/
- Circle URL: https://community.climatechange.ai/u/10db3b20
Isaac Kofi Nti (University of Energy and Natural Resources )
Short Bio
Dr. I. K. Nti holds PhD in Computer Science, MSc. in Information Technology, BSc. in Computer Science and HND in Electrical & Electronic Engineering. Dr Nti is a Lecturer at the Department of Computer Science and Informatics, the University of Energy and Natural Resources (UENR), Sunyani, Ghana. His research interests include artificial intelligence, energy system modelling, intelligent information systems and social, health informatics, energy informatics and sustainable computing, business analytics and data privacy and security.
David Rolnick (McGill University & Mila Quebec AI Institute)
Short Bio
I'm an Assistant Professor in Computer Science and Canada CIFAR AI Chair at McGill University and Mila - Quebec AI Institute, a co-founder and Chair of CCAI, and Scientific Co-Director of Sustainability in the Digital Age. My group works on machine learning innovations driven by problems relevant to climate change and biodiversity, as well as mathematical understanding of deep learning algorithms.
Interests/Experience
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing, Ecosystems and natural resources
Seeking/Offering
- Seeking: Research collaborations
- Offering: Research collaborations, Academic positions
Contact
- Email: drolnick@cs.mcgill.ca
- Website: https://davidrolnick.com/
- Twitter URL: https://twitter.com/david_rolnick
- LinkedIn URL: https://www.linkedin.com/in/davidrolnick/
KANOUO Christin Micael (Université de Yaoundé )
Short Bio
Je suis KANOUO Christin Micael étudiant en première année doctorat. Je travaille sur le thème : Modélisation par apprentissage statistique des phénomènes climatiques et environnementaux.
Contact
- Location: Cameroun
- Email: kanouomichael@gmail.com
Ghjulia Sialelli (ETH Zurich)
Short Bio
I am a PhD candidate at the ETH AI Center, currently working on biomass estimation from remote sensing imagery, and with a lot of other ideas!
Interests/Experience
- Areas of Interest: Climate justice, Forestry and other land use, Computer vision and remote sensing, Uncertainty quantification and robustness
- Areas of Experience: Computer vision and remote sensing, Uncertainty quantification and robustness
Contact
- Location: Zurich
- Email: gsialelli@ethz.ch
- Twitter URL: https://twitter.com/SialelliG
- LinkedIn URL: https://twitter.com/SialelliG
- Circle URL: https://community.climatechange.ai/u/ad49325b
Association internationale pour Medina-Mary (AIMM) (AIMM)
Short Bio
L’Association internationale pour Médina-Mary (AIMM), a été créée en 2005. Elle oeuvre pour l'amélioration des vie des populations du terroir de Médina-Mary, à 600 km, au sud-est de Dakar. ce terroir est composé de 7 villages qui ont une population totale de 10.000 habitants. Depuis, sa création, l'AIMM sert de trait- d’union entre la population et l’Etat du Sénégal. Ses nombreux plaidoyers auprès de l’administration et actions ont permis au terroir de disposer d'un dispensaire, d'une maternité, d'une école maternelle, d'un collège, d'un bureau de poste, d'un forage multi-village, d'une mini-laiterie communautaire, d'une antenne relais de télécommunication pour les mobiles et connexion internet, etc... Education - soutien en fournitures scolaires et pédagogiques à l’école de Médina-Mary - célébration annuelle de la Fête de la Francophonie à l’école de Médina-Mary - implantation d’un CEM à Médina-Mary - ouverture d’une école maternelle à Médina-Mary.
Interests/Experience
- Areas of Interest: Climate finance
- Areas of Experience: Ecosystems and natural resources
- Additional details: -Aménagement et reboisement sur un site d’un hectare à Médina-Mary, sur financement de l’Ambassade de France au Sénégal -Aménagement d’un jardin maraicher solaire à l’école primaire de Médina-Mary, sur financement de l’Ambassade de Suisse au Sénégal - Aménagement d’un bois d’école à l’école primaire de Médina-Mary sur financement école primaire Hansel et Gretel de Vuisternens-devant-Romont (Suisse) -Construction et renforcement du système d’électrification par panneaux solaires d'une mini-laiterie à Médina-Mary avec le soutien de l'Ambassade de Suisse au Sénégal - Installation du système d’électrification par panneaux solaires du poste de santé de Médina-Mary, sur financement de l’Ambassade de Suisse au Sénégal - Construction d’une salle de classe à l’école primaire de Médina-Mary sur financement de la Fondation Ramsay de Bâle (Suisse) - Collecte de fonds et réhabilitation de la toiture de la première salle de classe de l’école de Médina-Mary, construite en 1963, -Réfection de portes et fenêtres d’une autre salle de classe à Médina-Mary -Campagne conjointe AIMM/OIM, de sensibilisation des jeunes contre la migration irrégulière sur financement de l’UE.
Seeking/Offering
- Seeking: Funding
- Offering: Lacuna Fund Collaborations
Contact
- Location: Dakar (Sénégal)
- Email: info@medina-mary.com
- Website: https://www.medina-mary.com
- Twitter URL: https://twitter.com/medinamamary
- Circle URL: https://community.climatechange.ai/s/community/
Mr Yaya SYLLA (SaH Analytics)
Interests/Experience
- Areas of Interest: Agriculture, Behavioral and social science, Buildings and cities, Climate finance, Disaster prediction, management, and relief, Ecosystems and natural resources, Industry, Active learning, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Hybrid physical models, Interpretable ML, Meta- and transfer learning, Natural language processing, Recommender systems, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Behavioral and social science, Climate and Earth science, Ecosystems and natural resources, Forestry and other land use, Industry
Contact
- Location: Côte d ´Ivoire
- Email: yaya.sylla@sahanalytics.com
- Website: https://sahanalytics.com/
- LinkedIn URL: https://ci.linkedin.com/in/yaya-sylla-713336
Jan Drgona (Pacific Northwest National Laboratory)
Short Bio
I am a data scientist in the Physics and Computational Sciences Division (PCSD) at Pacific Northwest National Laboratory. My current research interests fall in the intersection of model-based optimal control, constrained optimization, and machine learning facilitated by differentiable programming.
Interests/Experience
- Areas of Interest: Buildings and cities, Industry, Power and energy, Hybrid physical models, Reinforcement learning and control, Time-series analysis
- Areas of Experience: Buildings and cities, Hybrid physical models, Reinforcement learning and control
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Mentorship, Employment opportunities, Research collaborations
Contact
- Email: jan.drgona@pnnl.gov
- Website: https://drgona.github.io/
- Twitter URL: https://twitter.com/jan_drgona
- LinkedIn URL: https://www.linkedin.com/in/drgona/
- Circle URL: https://community.climatechange.ai/u/5413d09d
Maria Jose DuarteTorres (universidad nacional de colombia)
Contact
- Location: Colombia
- Email: dmajoto@gmail.com
Noemi Vergopolan (Rice University)
Short Bio
I am a computational hydrologist, engineer, and scientist working on solutions for water resources and climate. My research aims to aid actionable decision-making by improving hydrological information for monitoring and forecasting hydrological extremes and their impacts at the local scales. To this end, I develop scalable computational approaches for high-resolution hydrological prediction by leveraging advances in artificial intelligence, satellite remote sensing, land surface modeling, and high-performance computing.
Interests/Experience
- Areas of Interest: Agriculture, Climate and Earth science, Disaster prediction, management, and relief, Computer vision and remote sensing, Generative modeling, Hybrid physical models
- Areas of Experience: Agriculture, Climate and Earth science, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Hybrid physical models, Time-series analysis, Unsupervised and semi-supervised learning
Contact
- Location: United States
- Email: Noemi.Vergopolan@rice.edu
- Website: https://waterai.earth/
- Twitter URL: https://x.com/NVergopolan
- LinkedIn URL: https://www.linkedin.com/in/vergopolan
Jose Cordova-Garcia (ESPOL University)
Short Bio
I am an Assistant Professor at ESPOL University in Guayaquil, Ecuador. I received my PhD from Stony Brook University where I worked on data-driven monitoring and control of failures in power grids. My research focuses in optimization and machine learning applications in Smart Grids and data networks. At ESPOL I lead a campus-wide initiative towards generating user-centered automated recommendations for energy efficiency.
Interests/Experience
- Areas of Interest: Buildings and cities, Power and energy, Classification, regression, and supervised learning, Generative modeling, Hybrid physical models, Reinforcement learning and control, Uncertainty quantification and robustness
- Areas of Experience: Power and energy, Classification, regression, and supervised learning, Hybrid physical models
Seeking/Offering
- Seeking: Data, Networking, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Email: jecordov@espol.edu.ec
- Website: https://jecordov.github.io/
- Twitter URL: https://twitter.com/jecordov
- Circle URL: https://community.climatechange.ai/u/554e49a7
Bernard Ngaruiya (FarmDoc)
Short Bio
A seasoned computer vision engineer and instructor. Looking for partners interested in AI and Remote sensing for Agriculture. Hit me up and let us chat!!
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate finance, Forestry and other land use, Societal adaptation, Computer vision and remote sensing
- Areas of Experience: Agriculture
Seeking/Offering
- Seeking: Lacuna Fund Collaborations
- Offering: Networking, Startup co-founder
Contact
- Location: Kenya
- Email: bngaruiya@gmail.com
Derek Rollend (The Johns Hopkins University Applied Physics Laboratory)
Short Bio
Machine Learning researcher interested in the application of AI/ML to satellite imagery and remote sensing data to help address the climate crisis.
Interests/Experience
- Areas of Interest: Climate and Earth science, Disaster prediction, management, and relief, Transportation, Computer vision and remote sensing
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing, Meta- and transfer learning
Seeking/Offering
- Seeking: Data, Research collaborations
Contact
- Location: Laurel, MD
- LinkedIn URL: https://www.linkedin.com/in/derekrollend
- Circle URL: https://community.climatechange.ai/u/e3337218
Moshood Olawale Mustapha (StrikeClimate)
Short Bio
He is a software and machine learning engineer with a background in geomatics engineering. He is passionate about the application of artificial intelligence and machine learning to geospatial development and analysis in building real-life projects that provides solutions to global warming, disaster management, predictions, optimizing agricultural processes, and many others.
Interests/Experience
- Areas of Interest: Agriculture, Disaster prediction, management, and relief, Computer vision and remote sensing, Time-series analysis
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing
Seeking/Offering
- Seeking: Employment opportunities, Mentorship, Networking, Research collaborations
- Offering: Startup co-founder
- Additional details: I am currently working on StrikeClimate https://strikeclimate.com/ and a startup co-founder with experience and expertise in climate analysis and prediction is open.
Contact
- Location: Nigeria
- Email: folarinolawale3415@gmail.com
- Website: https://github.com/olawale1rty
- Twitter URL: https://twitter.com/MustaphaMoshoo8
- LinkedIn URL: https://www.linkedin.com/in/mustapha-moshood/
Open Knowledge Foundation (Open Knowledge Foundation)
Short Bio
Open Knowledge Foundation is a global non-profit organisation focused on realising open data’s value to society by helping individuals and organisations access and use data to take action on social problems.
Seeking/Offering
- Seeking: Lacuna Fund Collaborations
Contact
- Email: frictionlessdata@okfn.org
- Website: http://okfn.org/
- Twitter URL: https://twitter.com/OKFN
- LinkedIn URL: https://www.linkedin.com/company/1131715
Frederik vom Scheidt (Karlsruhe Institute of Technology)
Short Bio
I believe that novel AI applications are a powerful tool for creating a more sustainable energy system. Therefore, in my PhD research at KIT, Germany, I develop new forecasting applications + economic mechanisms to efficiently integrate decentralized technologies into the energy system.
Interests/Experience
- Areas of Interest: Power and energy
- Areas of Experience: Power and energy, Classification, regression, and supervised learning
Seeking/Offering
- Seeking: Startup co-founder
- Offering: Research collaborations, Startup co-founder
Contact
- Location: Germany
- Twitter URL: https://twitter.com/FVS_Energy
- LinkedIn URL: https://www.linkedin.com/in/frederik-vom-scheidt/
Élise Comeau (Université du Québec à Montréal (UQAM) | Centre ESCER)
Contact
- Location: Montreal, Canada
- Email: comeau.elise@courrier.uqam.ca
Maya Nalliah (University of California, Berkeley)
Short Bio
I am currently pursuing a data science degree at UC Berkeley with a domain emphasis in Sustainable engineering, and minor in climate science. I am interested in AI, climate tech, and data analytics. I have done research in the sustainable fashion industry and climate tech and agriculture overlap.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate and Earth science, Power and energy, Computer vision and remote sensing, Data mining
- Areas of Experience: Agriculture, Climate justice, Classification, regression, and supervised learning
Seeking/Offering
- Seeking: Employment opportunities, Internships, Research collaborations
Contact
- Location: Seattle, WA
- Email: maya.nalliah@berkeley.edu
- LinkedIn URL: https://www.linkedin.com/in/maya-nalliah-a3b611210/
Ish Girwan
Interests/Experience
- Areas of Interest: Behavioral and social science, Disaster prediction, management, and relief, Policy, Computer vision and remote sensing, Natural language processing
- Areas of Experience: Computer vision and remote sensing, Natural language processing
Seeking/Offering
- Seeking: Employment opportunities, Internships, Networking
- Offering: Mentorship, Networking, Startup co-founder
Contact
- Location: UK
- Email: ishgirwan@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/ishgirwan/
Francis muthengi (Dedan kimathi University of technology)
Short Bio
Final year undergraduate student persuing bachelor's degree in Mathematics and modeling process. Currently working on a project modeling and analyzing transmission dynamics of visceral leishmaniasis (disease modeling)
Interests/Experience
- Areas of Interest: Agriculture, Behavioral and social science, Climate and Earth science, Climate finance, Climate justice, Industry, Transportation, Active learning, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Human-computer Interaction, Meta- and transfer learning, Natural language processing, Reinforcement learning and control, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Agriculture, Behavioral and social science, Buildings and cities, Carbon capture and sequestration, Climate and Earth science, Climate finance, Climate justice, Disaster prediction, management, and relief, Ecosystems and natural resources, Policy, Power and energy, Transportation, Active learning, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Human-computer Interaction, Hybrid physical models, Interpretable ML, Reinforcement learning and control, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
Kenaya Komba (Student )
Short Bio
Kenaya Is a Kabarak LLB student, she has participated in the Oxford School of climate change Hilary program. With a profound passion for making a positive impact, Kenaya has already left a mark in her previous role as Manager at Fondabe Foundation in Goma, DRC. In her managerial role, spanning from 2021 to 2023, Kenaya demonstrated exceptional leadership in overseeing programs aimed at assisting orphans and those displaced by war. Her commitment extended beyond basic legal aid, collaborating with local schools to provide opportunities and scholarships for abandoned children, fostering hope for a brighter future. Fluent in French, Lingala, and English, with proficiency in Swahili, Kenaya's multilingual abilities enhance her strong communication skills. Her unique background has fueled her interest in conflict resolution and human rights, evident in her research and publication titled in collaboration with ICJ Kenya "REIMAGINING JUSTICE: DEATH PENALTY AND DOMESTIC VIOLENCE AGAINST WOMEN IN KENYA." Currently serving as an Editor for the Kabarak Law Review in Kenya and holding the position of Director of Communications at the Amnesty International Kabarak Chapter. Her latest blog, "The Day and Night of Goma: My Journey through Mt Nyiragongo’s 2021 Eruption and the DRC-Rwanda Conflict," reflects her commitment to sharing impactful narratives. In addition to her academic and professional pursuits, Kenaya is known for her unwavering dedication to justice, with a keen focus on Law and human rights. Her research interests, coupled with her managerial experience and communication skills, position Kenaya as a rising researcher poised to make meaningful contributions to the field of law and beyond.
Interests/Experience
- Areas of Interest: Climate justice
- Areas of Experience: Climate justice, Active learning
Seeking/Offering
- Seeking: Academic positions
- Offering: Internships
Contact
- Location: Kenya
- Email: kenayakomba@gmail.com
- Twitter URL: https://x.com/komba_kenaya/status/1723825708114301076?s=46
- LinkedIn URL: https://www.linkedin.com/in/kenaya-komba-784b57277?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app
Tushar Gupta
Short Bio
I help Financial Institutions and Corporates manage their climate risk and align it with their decarbonisation strategy
Contact
- LinkedIn URL: https://www.linkedin.com/in/tushargupta07/
Avisek Naug (Hewlett Packard Enterprise)
Short Bio
Research Scientist, Hewlett Packard Enterprise Labs PhD in Artificial Intelligence, Vanderbilt University, 2022
Interests/Experience
- Areas of Interest: Meta- and transfer learning, Natural language processing, Reinforcement learning and control, Time-series analysis
- Additional details: Hi, I am Research Scientist working in the intersecting domains of Machine Learning and Cyber Physical Systems (CPS) at Hewlett Packard Enterprise Labs.
Contact
- Location: San Jose
- LinkedIn URL: https://www.linkedin.com/in/avisek-naug/
Patrick Emami (University of Florida)
Short Bio
I'm a PhD candidate at the University of Florida researching multi-object representation learning, reinforcement learning, and energy-efficient traffic intersection control.
Interests/Experience
- Areas of Interest: Buildings and cities, Climate justice, Transportation
- Areas of Experience: Generative modeling, Reinforcement learning and control
Seeking/Offering
- Seeking: Employment opportunities, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Email: pemami@ufl.edu
- Website: https://pemami4911.github.io
- Twitter URL: https://twitter.com/PatrickOmid
- LinkedIn URL: https://www.linkedin.com/in/pemami4911/
- Circle URL: https://community.climatechange.ai/u/22fb5b86
Luis Bernardo Chicaiza
Contact
- Location: Bogotá, Colombia
- Email: LBC@dexon.us
- Website: https://dexon.us
- LinkedIn URL: https://www.linkedin.com/in/lbchicaiza/
Sebastian Gerard (KTH Stockholm)
Short Bio
PhD student working on self-supervised learning for satellite images. Planning to work on wildfire predictions.
Interests/Experience
- Areas of Interest: Disaster prediction, management, and relief, Forestry and other land use
- Areas of Experience: Computer vision and remote sensing, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Twitter URL: https://twitter.com/GracefulGerard
- LinkedIn URL: https://www.linkedin.com/in/sebastian-gerard-806a421b0/
- Circle URL: https://community.climatechange.ai/u/f0fcdfbd
Ruimin Ma
Short Bio
AI scientist
Interests/Experience
- Areas of Interest: Reinforcement learning and control
- Areas of Experience: Reinforcement learning and control
Contact
Akshay Kalra
Short Bio
A believer in AI's potential to solve society's problems, I take a keen interest in combating climate change problems with my skills. I'm a passionate Data Scientist working in the industry for over five years.
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate and Earth science, Disaster prediction, management, and relief, Industry, Power and energy, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Interpretable ML, Natural language processing
- Areas of Experience: Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Interpretable ML, Meta- and transfer learning, Natural language processing
Seeking/Offering
- Seeking: Academic positions, Data, Employment opportunities, Networking, Research collaborations
- Offering: Mentorship, Paid consulting, Pro-bono consulting, Research collaborations
Contact
- Location: Delhi, India
- LinkedIn URL: https://www.linkedin.com/in/akshayklr057/
Neeraj Kumar
Short Bio
PhD in computer vision, Staff Machine Learning Engineer at major tech company, looking for a senior ML role (eng, not manager) at a climate change-related company
Interests/Experience
- Areas of Interest: Buildings and cities, Ecosystems and natural resources, Forestry and other land use
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing, Natural language processing
Seeking/Offering
- Seeking: Employment opportunities
Dan Campbell (The Green AI Foundation)
Short Bio
Technology and sustainability leader looking to shape a better world through the use of AI/DS/ML!
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Computer vision and remote sensing, Data mining, Generative modeling, Natural language processing, Recommender systems, Time-series analysis
Seeking/Offering
- Seeking: Funding, Mentorship, Networking, Research collaborations
- Offering: Internships, Mentorship, Networking, Paid consulting, Research collaborations, Startup co-founder
Contact
- Location: Providence, RI, USA
- Email: dan@tgaif.org
- LinkedIn URL: https://www.linkedin.com/in/daniel-campbell1/
Jim Lee (BuySellRam.com)
Short Bio
I am a computer hardware engineer. But now I am learning computer vision and machine learning, because I would like to do automatic product classification and inspection.
Interests/Experience
- Areas of Interest: Ecosystems and natural resources
- Additional details: My goal is to build an automatic e-waste recycling system.
Contact
- Location: Orlando
- Website: https://www.buysellram.com
- Twitter URL: https://twitter.com/buysellraminc
Jan Dutton (Prescient Weather Ltd)
Interests/Experience
- Areas of Interest: Climate and Earth science
- Areas of Experience: Climate and Earth science
- Additional details: 20+ years experience in the weather/climate industry.
Seeking/Offering
- Offering: Startup co-founder
Contact
- Location: Charlottesville, VA
- Website: https://www.worldclimateservice.com
- Twitter URL: https://www.twitter.com/jfd118
- LinkedIn URL: https://www.linkedin.com/jan-dutton
Aditya Manglik (ETH Zurich)
Short Bio
Graduate student at ETH Zurich
Interests/Experience
- Areas of Interest: Behavioral and social science, Carbon capture and sequestration, Power and energy, Active learning, Interpretable ML, Time-series analysis, Uncertainty quantification and robustness
- Areas of Experience: Data mining, Time-series analysis, Uncertainty quantification and robustness
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Mentorship, Networking, Paid consulting, Pro-bono consulting, Research collaborations, Startup co-founder
- Offering: Mentorship, Networking, Paid consulting, Pro-bono consulting, Research collaborations, Startup co-founder
Contact
- Location: Zurich, Switzerland
- Email: amangli@student.ethz.ch
- Website: https://adityamanglik.github.io/
- LinkedIn URL: https://linkedin.com/in/adityamanglik
- Circle URL: https://community.climatechange.ai/u/97e20475
Bhogendra Mishra (Science Hub)
Short Bio
He is a Doctorate in Engineering from Kyoto University, is a spatial data scientist, has more than a decade long professional experience research and development of geospatial datasets for several applications. He is the recipient of “Nepal Bidhya Bhusan Kha” and “The John A. Hones Prize” from Tribhuvan University and AIT for his outstanding academic. He worked in various development organizations as a specialist and researcher in the Asia Pacific region, the Netherlands.
Interests/Experience
- Areas of Interest: Agriculture, Climate and Earth science, Classification, regression, and supervised learning, Time-series analysis
- Areas of Experience: Agriculture, Computer vision and remote sensing, Time-series analysis
Seeking/Offering
- Seeking: Data, Employment opportunities, Lacuna Fund Collaborations, Paid consulting, Research collaborations
- Offering: Data, Mentorship, Paid consulting, Research collaborations
Contact
- Location: Nepal
- Email: bmishra.rs@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/bhogendra-mishra-b824b410/
Abhishek Bhan (Apple, Columbia University)
Short Bio
I am currently working as a SWE at Apple, having just finished grad school at Columbia University. In my free time, I like to read, climb and play basketball and badminton. I have been trying to be environmentally conscious for a number of years now and have taken small steps to change my lifestyle over the years to make it more carbon neutral. There's lots more to do though and I believe the intersecion of AI and climate change is a domain that has a lot of (untapped) potential! I look forward to getting to know all of you and hopefully collaborating in the future to help realize that potential. Cheers!
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate and Earth science, Climate finance, Transportation
- Areas of Experience: Causal and Bayesian methods, Meta- and transfer learning, Reinforcement learning and control
Seeking/Offering
- Seeking: Mentorship, Networking
- Offering: Research collaborations
Contact
- Location: San Fransisco Bay Area
- Email: abhi.bhan@gmail.com
- Twitter URL: https://twitter.com/Abhi_Bhan
- LinkedIn URL: https://www.linkedin.com/in/abhi-bhan/
David Dao (ETH Zurich)
Short Bio
I'm a Ph.D. student at ETH Zurich building AI and Data Systems for Sustainable Development. I'm leading the Climate + AI initiative at DS3Lab, mapping the ethical use of AI, and directing the Kara research project with Stanford and UC Berkeley. I'm also the founder of GainForest, a non-profit grantee of Microsoft’s AI for Earth program, which leverages decentralized technology to prevent deforestation. Previously, I was an engineer in Silicon Valley and a research fellow at Berkeley AI Research (BAIR), Stanford University and Broad Institute of MIT and Harvard. I'm a Global Shaper at World Economic Forum, a Core Member of Climate Change AI, a Climate Leader at Climate Reality Project and organized conferences with thousands of attendees in Germany, Silicon Valley, and at Harvard.
Interests/Experience
- Areas of Interest: Climate finance, Climate justice, Ecosystems and natural resources, Forestry and other land use, Policy, Computer vision and remote sensing, Interpretable ML
- Areas of Experience: Climate finance, Ecosystems and natural resources, Forestry and other land use, Computer vision and remote sensing, Interpretable ML
Contact
- Email: david@gainforest.net
- Website: https://daviddao.org/
- Twitter URL: https://twitter.com/dwddao
- LinkedIn URL: https://linkedin.com/in/dwddao
- Circle URL: https://community.climatechange.ai/u/1b3676b1
Paul Christopher Ulrich (Consultant)
Short Bio
I have worked on issues related to climate change in Asia Pacific for NGOs and the GSMA, the trade organization representing global mobile operators. I have also done policy work on AI for the GSMA. I am an economist by training with degrees from Stanford and Harvard.
Interests/Experience
- Areas of Interest: Behavioral and social science, Carbon capture and sequestration, Climate finance, Climate justice, Disaster prediction, management, and relief, Ecosystems and natural resources, Policy, Societal adaptation
- Areas of Experience: Behavioral and social science, Climate finance, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Industry, Policy, Classification, regression, and supervised learning, Time-series analysis
Seeking/Offering
- Offering: Mentorship, Networking, Pro-bono consulting, Research collaborations, Startup co-founder
Contact
- Location: New Haven, CT
- Email: pulrich@alumni.harvard.edu
Shivani Manivasagan (Harvey Mudd College)
Short Bio
Hi! I'm a student at Harvey Mudd College aiming to work at the intersections of data science and sustainability/climate. I'm interested in data analytics, ML, modeling, etc. for environmental applications and projects. Would appreciate any leads or advice!
Interests/Experience
- Areas of Interest: Buildings and cities, Industry, Power and energy, Transportation, Generative modeling, Interpretable ML, Natural language processing
Seeking/Offering
- Seeking: Employment opportunities, Mentorship, Networking, Paid consulting
- Offering: Networking
Contact
- Location: United States
- Email: smanivasagan@g.hmc.edu
- LinkedIn URL: https://www.linkedin.com/in/shivani-manivasagan/
Hassan Rostam
Short Bio
I am a business/finance professional helping entrepreneurs start and grow sustainable businesses. My interests are AI, climate, philosophy and food art, separately and their intersections.
Interests/Experience
- Areas of Interest: Buildings and cities, Carbon capture and sequestration, Climate finance
Seeking/Offering
- Offering: Mentorship, Networking, Paid consulting, Pro-bono consulting, Research collaborations
Contact
- Location: California
- Email: hrostam@benrosinstitute.com
- LinkedIn URL: https://www.linkedin.com/in/hassan-rostam/
Zineb Bhaby
Interests/Experience
- Areas of Interest: Climate justice, Disaster prediction, management, and relief, Data mining, Natural language processing
- Areas of Experience: Climate and Earth science, Disaster prediction, management, and relief
- Additional details: A seasoned Humanitarian Tech Specialist with a passion for responsible use of data in making positive societal impact. I am a fervent advocate for community-driven innovation and the holistic approach to digital inclusion.
Seeking/Offering
- Seeking: Funding, Lacuna Fund Collaborations, Mentorship, Research collaborations
- Offering: Data, Mentorship, Research collaborations
Contact
- Email: z.bhaby@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/zineb-bhaby-b0ba62200/
Jing Sun (Delft University of Technology)
Short Bio
I am an assistant professor in the Department of Intelligent Systems at Delft University of Technology. My research focuses on developing machine and deep learning techniques to tackle climate challenges and address geophysical problems, especially by informing physics or domain knowledge to improve the AI model’s reliability and interpretability. My work spans a broad spectrum of geophysical aspects, such as seismic, magnetic, and electromagnetic techniques, which are crucial for understanding the Earth's subsurface structures and physical properties. I also work on utilizing satellite-based observations to understand the Earth's surface, atmosphere, and oceans. My research interest also lies in AI-based solutions to accelerate the transition to sustainable energy sources, including the assessment and monitoring of offshore wind farms.
Interests/Experience
- Areas of Interest: Unsupervised and semi-supervised learning, Classification, regression, and supervised learning, Disaster prediction, management, and relief, Climate and Earth science, Uncertainty quantification and robustness, Interpretable ML, Computer vision and remote sensing
Seeking/Offering
- Seeking: Funding, Networking, Research collaborations
- Offering: Internships, Mentorship, Networking, Research collaborations
Contact
- Location: The Netherlands
- Email: jing.sun@tudelft.nl
- Website: https://www.tudelft.nl/en/ewi/over-de-faculteit/afdelingen/intelligent-systems/pattern-recognition-bioinformatics/pattern-recognition-bioinformatics/people/jing-sun
- LinkedIn URL: https://www.linkedin.com/in/jingsun8803/
Christopher Whidden (Dalhousie University)
Short Bio
Algorithms and Machine Learning Researcher interested in solving applied problems for oceans and climate change. Current research includes automating computer vision monitoring of fish, analysis of marine vessel CO2 emissions, and predicting ocean contaminant dispersion.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate and Earth science, Ecosystems and natural resources, Power and energy
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Data, Funding, Paid consulting, Research collaborations
- Additional details: Often seeking PhD students or postdocs interesting in applied algorithm or machine learning research for oceans and climate change.
Contact
- Location: Halifax, Canada
- Email: cwhidden@dal.ca
- Website: https://www.cs.dal.ca/~whidden
- Twitter URL: https://twitter.com/Chris__Whidden
- LinkedIn URL: https://www.linkedin.com/in/christopher-whidden-8b117356/
Suraj Prasad
Short Bio
I help decolonize and reframe the narrative to build accessible ecosystems for a human centered, nature aligned, just approach to business that advances equity and climate preservation. I specialize in mixed methods research, synthesis, and consensus building to bring divergent perspectives and stakeholders to channel collective action and shift status quo.
Interests/Experience
- Areas of Interest: Behavioral and social science, Buildings and cities, Carbon capture and sequestration, Climate justice, Policy, Power and energy, Classification, regression, and supervised learning, Unsupervised and semi-supervised learning
- Areas of Experience: Climate justice, Ecosystems and natural resources, Societal adaptation, Active learning, Human-computer Interaction
- Additional details: Grounded in cultural analysis I specialise in creating accessible human centered models that bring core alignment across the enterprise to unlock value, in other words, I help decolonize processes, organizations and policies.
Seeking/Offering
- Seeking: Employment opportunities, Funding, Lacuna Fund Collaborations, Paid consulting, Startup co-founder
- Offering: Mentorship, Research collaborations, Startup co-founder
- Additional details: Seeking problems to solve and organizations to advance.
Contact
- Location: Pittsburgh, USA / New Delhi, India
- Email: surajprasad@cmu.edu
- LinkedIn URL: https://www.linkedin.com/in/suraj-prasad-arts-technology-culture-society/
Redouane Lguensat (IPSL / IRD / Sorbonne Univ.)
Short Bio
IRD Research Engineer at IPSL climate modeling center
Interests/Experience
- Areas of Interest: Climate and Earth science
- Areas of Experience: Hybrid physical models, Unsupervised and semi-supervised learning, Classification, regression, and supervised learning, Time-series analysis, Uncertainty quantification and robustness, Interpretable ML, Computer vision and remote sensing
- Additional details: I have a background in ML and been working on ML for oceanography since my PhD (2014-2017). Recently I started working on ML for climate modeling, you can learn more by visiting my personal website.
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Mentorship, Research collaborations
Contact
- Location: Paris
- Email: redouane.lguensat@locean.ipsl.fr
- Website: https://redouanelg.github.io
- Twitter URL: https://twitter.com/redouanelg
- LinkedIn URL: https://www.linkedin.com/in/redouanelguensat/
Sayak Mukherjee (Pacific Northwest National Laboratory )
Short Bio
I am a staff scientist at PNNL working in the areas of control/RL, energy systems and ML.
Interests/Experience
- Areas of Interest: Power and energy, Reinforcement learning and control
- Areas of Experience: Power and energy, Reinforcement learning and control
Contact
- Location: US
- Website: https://sites.google.com/ncsu.edu/sayakmukherjee/home
Tim Sowa (Fulbright Finland Foundation, Tampere University, Bowdoin College)
Short Bio
Currently in Finland on a Fulbright grant studying Digital Sustainability
Interests/Experience
- Areas of Interest: Behavioral and social science, Societal adaptation, Active learning, Human-computer Interaction
- Areas of Experience: Behavioral and social science, Policy, Societal adaptation, Human-computer Interaction
- Additional details: Digitalization and Transformation Strategy, Organizational Readiness and Adaptation, Public Education Administration
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Funding, Networking, Paid consulting, Research collaborations
- Offering: Mentorship, Networking, Pro-bono consulting, Research collaborations
Contact
- Location: Finland - NYC
- Email: sowatimothy@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/sowatimothy/
Mother Earth AI
Short Bio
We give a voice to Mother Earth. The AI is trained with the Universal Declaration of the Rights of Mother Earth (http://w.wiki/5$7u).
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate justice, Ecosystems and natural resources, Policy, Societal adaptation, Active learning
- Areas of Experience: Behavioral and social science, Climate justice, Societal adaptation, Human-computer Interaction
Seeking/Offering
- Seeking: Funding, Mentorship, Networking, Startup co-founder
- Offering: Mentorship, Networking, Startup co-founder
Contact
- Location: Berlin
- Email: hello@mother-earth.ai
- Website: https://funkify.xyz/project/mother-earth
- Twitter URL: https://twitter.com/MotherEarthAI
- LinkedIn URL: https://www.linkedin.com/in/mother-earth-ai/
- Circle URL: https://community.climatechange.ai/u/75c906dd?
Emiel Cockx (Genvision)
Short Bio
Emiel is the Co-Founder and CEO of Genvision, a company that measures carbon sequestration in nature using satellite images and AI.
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate finance, Ecosystems and natural resources, Forestry and other land use, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Reinforcement learning and control, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Agriculture, Carbon capture and sequestration, Climate finance, Ecosystems and natural resources, Forestry and other land use, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Reinforcement learning and control, Time-series analysis, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Funding, Internships, Research collaborations
- Offering: Data, Employment opportunities, Internships, Networking, Pro-bono consulting
Contact
- Location: Belgium & New York
- Email: emiel@genvision.com
- Website: https://www.genvision.com
- LinkedIn URL: https://www.linkedin.com/in/emiel-cockx/
Brian Kent (The Crosstab Kite)
Short Bio
Data scientist and ML engineer, currently focused on translating digital experimentation lessons to real-world applications in climate R&D. Please reach out and say hi!
Interests/Experience
- Areas of Experience: Causal and Bayesian methods, Classification, regression, and supervised learning, Reinforcement learning and control
Seeking/Offering
- Seeking: Paid consulting, Networking, Employment opportunities, Startup co-founder, Funding
Contact
- Website: https://www.crosstab.io/
- Twitter URL: https://twitter.com/brian_p_kent
- LinkedIn URL: https://www.linkedin.com/in/brian-patrick-kent/
Joshua Loughman (Climate Interative)
Short Bio
Director of Modeling and Technology for the global climate policy think tank, Climate Interactive.
Interests/Experience
- Areas of Interest: Climate and Earth science, Policy, Power and energy, Generative modeling
Contact
- Location: Phoenix, AZ
- Email: loughman@gmail.com
- Website: https://www.climateinteractive.org/
- Twitter URL: https://twitter.com/josh_loughman
- LinkedIn URL: https://www.linkedin.com/in/joshualoughman/
Yuxuan Cai (UC berkeley)
Interests/Experience
- Areas of Interest: Buildings and cities, Unsupervised and semi-supervised learning, Data mining, Behavioral and social science, Time-series analysis, Climate finance, Natural language processing
- Areas of Experience: Buildings and cities, Behavioral and social science
Seeking/Offering
- Seeking: Internships, Research collaborations, Academic positions
- Offering: Data, Pro-bono consulting
Contact
- Email: yuxuancai@berkeley.edu
namwinwelbere dabire (université d'Amobey Calavi)
Short Bio
ingénieur hydrologie, ingénieur informaticien, Doctorant en génie de l'eau
Contact
- Location: Ouagadougou
- Email: namwinwelbere@gmail.com
Zane Selvans (Catalyst Cooperative)
Short Bio
I wrangle US open energy system data for researchers, activists, policymakers, and journalists working on climate & energy policy.
Interests/Experience
- Areas of Interest: Climate finance, Policy, Power and energy
- Areas of Experience: Climate and Earth science, Climate finance, Policy, Power and energy, Transportation
- Additional details: I am primarily interested in using ML/AI to do record linkage, entity resolution, outlier detection, missing value imputation, and automated data labeling. We have a lot of messy data to wrangle and rule-based data data cleaning is too tedious and fragile.
Seeking/Offering
- Seeking: Data, Mentorship, Paid consulting, Pro-bono consulting, Research collaborations
- Offering: Data, Employment opportunities, Internships, Networking, Paid consulting, Research collaborations
Contact
- Location: Guanajuato, Mexico
- Email: zane.selvans@catalyst.coop
- Website: https://catalyst.coop/2021/05/23/automated-data-wrangling/
- Twitter URL: https://twitter.com/ZaneSelvans
- LinkedIn URL: https://www.linkedin.com/in/zaneselvans/
- Circle URL: https://community.climatechange.ai/u/84989c15
Garrett Kinman (McGill University)
Short Bio
I am an MSc Electrical Engineering student at McGill University in Montreal, focusing on embedded ML. I'm particularly interested in what embedded ML and intelligent control can do to help with precision and sustainable agriculture and forestry.
Interests/Experience
- Areas of Interest: Agriculture, Transportation, Reinforcement learning and control, Forestry and other land use, Ecosystems and natural resources, Computer vision and remote sensing
- Areas of Experience: Classification, regression, and supervised learning, Reinforcement learning and control, Meta- and transfer learning, Computer vision and remote sensing
Seeking/Offering
- Seeking: Employment opportunities, Mentorship, Networking
- Offering: Networking
Contact
- Location: Montreal, QC, Canada
- LinkedIn URL: https://www.linkedin.com/in/garrett-kinman/
- Circle URL: https://community.climatechange.ai/u/f496312e
Samara (Prolific)
Interests/Experience
- Areas of Interest: Climate and Earth science
- Areas of Experience: Industry
- Additional details: A prominent research team is actively searching for highly skilled academics in the fields of climate, environmental, and earth sciences to join an exciting AI project on Prolific. Participating in this project will not only expand your knowledge and make significant impact in this are, but also reward you with incentives ranging from £15-50p/h. To join this project, simply visit the link provided and create your Prolific participant account. Don't forget to verify your account to ensure you receive the study: https://app.prolific.co/register/participant/waitlist/?campaign_code=CE5L5195
Seeking/Offering
- Seeking: Research collaborations
- Offering: Research collaborations
- Additional details: Prolific is a platform that connects researchers with study participants worldwide. Our platform lists studies from top institutions like Harvard, Yale, and the University of Oxford, and researchers can recruit from our global pool of participants. Companies using AI for climate science research are also training complex LLM models on our platform, where your knowledge can make a significant impact on model accuracy.
Contact
- Location: London
- Email: samara.zauhy@prolific.co
- Website: https://www.prolific.co/
Victor Raul Stanilao Reyna Garcia (Universidad Catolica San Pablo)
Interests/Experience
- Areas of Interest: Data mining
- Areas of Experience: Computer vision and remote sensing, Data mining
Seeking/Offering
- Seeking: Internships, Mentorship
- Offering: Networking, Research collaborations
Contact
- Location: Lima
- Email: victor.reyna@ucsp.edu.pe
- Twitter URL: https://twitter.com/VicReynaG
Christian Igel (University of Copenhagen)
Short Bio
Professor at DIKU, the Department of Computer Science at the University of Copenhagen.
Interests/Experience
- Areas of Interest: Ecosystems and natural resources, Forestry and other land use, Classification, regression, and supervised learning, Computer vision and remote sensing
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing
Contact
- Location: Denmark
- Website: https://christian-igel.github.io/
- Twitter URL: https://twitter.com/christian_igel
- LinkedIn URL: https://christian-igel.github.io/
Mohamed Samy Mohamed El Sobkey
Short Bio
I'm a fresh graduate. I am a multi-talented engineer and I can constantly develop myself and my skills. Interested mainly in Artificial Intelligence (ML, DL, Computer Vision) & Data Science(Data Analysis). Organized and detail-oriented, work well under pressure and deadlines. Enjoy working with a variety of people, and I have a great attitude. I am looking for a creative, challenging, and growth-oriented position. I have the ability to learn many things in a short time.
Interests/Experience
- Areas of Interest: Active learning, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Human-computer Interaction, Natural language processing, Reinforcement learning and control, Unsupervised and semi-supervised learning
- Areas of Experience: Active learning
Seeking/Offering
- Seeking: Academic positions, Data, Employment opportunities, Funding, Internships, Lacuna Fund Collaborations, Mentorship, Research collaborations, Startup co-founder
Contact
- Location: Egypt
- Email: mohamed.elsobkey100@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/mohamed-el-sobkey-444621153/
PARTHA PRATIM SAHA (Birla Institute of Technology and Science, Pilani, (BITS Pilani) India)
Short Bio
I have 8 years of industrial work experience. I am working in advanced machine learning, neural network, NLP & Deep Learning projects. I have good knowledge on Convolutional Neural Networks, Recurrent Neural network, Text analytics, Information Retrieval, Natural Language Processing, Scientific Spacy, Gensim, Named Entity Recognition, architecting Gene Regulatory Network Architecture designing for identifying candidate driver genes for cancer for Multiple Myeloma from MMRF, and currently developing a search engine to develop established AI products in the Healthcare. I have used Python extensively in my work. I got an award of full free registration to attend the conference and workshop track in ICML 2021, attended the Google Developer’s program, serving as a reviewer of a journal on AI & Deep Learning, attended the RegML summer program, Italy, and presented Attention is all you need paper to Portland State University, USA. I have contributed to real-world projects from multiple domain horizons & could transfer these skills in my work.
Interests/Experience
- Areas of Interest: Computer vision and remote sensing, Data mining, Natural language processing, Unsupervised and semi-supervised learning
- Areas of Experience: Classification, regression, and supervised learning, Data mining, Natural language processing
- Additional details: With 8 years of work experience, I have worked with the Apple Inc and IBM research team on advanced machine learning, neural network, NLP & Deep Learning projects. I have good knowledge on Convolutional Neural Networks, Recurrent Neural network, LSTM, Text analytics, Information Retrieval, Natural Language Processing, Scientific Spacy, Gensim, Named Entity Recognition, architecting Gene Regulatory Network Architecture designing for identifying candidate driver genes for cancer for Multiple Myeloma from MMRF, and currently developing a search engine to develop established AI products in the Healthcare. I have used C, Java, objective-C, Python, R programming languages. I got an award of full free registration to attend the conference and workshop track in ICML 2021, attended the Google Developer’s program, serving as a reviewer of a journal on AI & Deep Learning, attended the RegML summer program, Italy, and presented Attention is all you need paper to Portland State University, USA. I have contributed to real-world projects from multiple domain horizons & could transfer these skills in my work.
Contact
- Location: West Bengal
- Email: TECHNICAL.PARTHA@GMAIL.COM
- Website: https://www.parthapratim.com/
- Twitter URL: https://twitter.com/partha_wish
- LinkedIn URL: https://www.linkedin.com/in/partha-pratim-saha-06998b42/
Christian Eduardo Valencia Albitres
Short Bio
Ingeniero ambiental colegiado, con experiencia en las áreas de desarrollo ambiental (elaboración de normativa evaluación de estudios , planes medioambientales, herramientas de desempeño ambiental ),proyectos de saneamiento ,proyectos del sector transporte especialmente viales ,aeroportuarios y puertos y valorización de residuos sólidos enfocado en economia circular .Habilidad para la conformación de trabajo multidisciplinarios y proactivo basado en indicadores de gestión que permitan llegar a los objetivos de las organizaciones .Conocimientos básicos de inglés y amplio conocimientos de software ambientales y civiles.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate and Earth science, Climate finance, Climate justice, Policy
- Areas of Experience: Climate finance
- Additional details: economia circular , salvaguardas ambientales
Seeking/Offering
- Seeking: Research collaborations
- Offering: Employment opportunities
Contact
- Location: Perú
- Email: cevalencia@lamolina.edu.pe
- LinkedIn URL: https://www.linkedin.com/in/christian-eduardo-valencia-albitres-960830116/
David Constantin Balongelwa (AE-Congo )
Short Bio
I am curator of protected areas and coordinator of a non-profit NGO, called Arisans Environnement (AE-Congo) specialized in the defense of environmental law, the protection of the environment in all its forms and sustainable development, we work my teams and I, to improve the living conditions of the population living around or inside the protected areas in DRCONGO. thank you for joining us in this noble struggle.
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate finance, Climate justice, Ecosystems and natural resources, Forestry and other land use
- Areas of Experience: Agriculture, Carbon capture and sequestration, Climate and Earth science, Climate justice, Ecosystems and natural resources, Forestry and other land use
- Additional details: Sustainable Development
Seeking/Offering
- Seeking: Funding, Lacuna Fund Collaborations, Mentorship, Networking
- Offering: Data, Research collaborations
Contact
- Location: DR CONGO-Kinshasa
- Email: constantindavid962@gmail.com
- Website: https://www.facebook.com/AEArtisans-EnvironnementDR-Congo-107983358652371/
- LinkedIn URL: https://www.linkedin.com/company/artisans-de-l-environnement/
Korin Carpenter
Short Bio
I am a data scientist currently working in the financial services field. I have prior experience in geophysical sciences, including geophysics, physical oceanography, and other areas, as well as work within the non-profit sector and the medical field.
Interests/Experience
- Areas of Interest: Climate and Earth science, Ecosystems and natural resources, Power and energy, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Hybrid physical models, Time-series analysis
- Areas of Experience: Climate and Earth science, Power and energy, Classification, regression, and supervised learning, Computer vision and remote sensing, Time-series analysis
Seeking/Offering
- Seeking: Data, Employment opportunities, Networking
- Offering: Networking, Paid consulting, Pro-bono consulting, Research collaborations
- Additional details: Interested in getting involved with current climate science research and applying my experience and skills in helping to solve novel problems. Looking to network and connect with active researchers and others working actively in the field.
Contact
- Location: Denver, CO
- Email: korinacarpenter@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/korin-carpenter-78608a77/
Terence Hill (PHIUS)
Interests/Experience
- Areas of Interest: Buildings and cities
- Areas of Experience: Buildings and cities
Seeking/Offering
- Seeking: Networking
Contact
- Email: auzzie22301@mac.com
- Website: http://www.phius.org
Aaron Martin (CCAI)
Short Bio
Hi, I'm a Project Lead at CCAI.
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate justice, Policy
- Areas of Experience: Behavioral and social science, Policy
Contact
- Location: New York, NY
- Email: aaron.martin@climatechange.ai
Shanti (UMich)
Short Bio
Interested in creating solutions for Energy Poverty and efficiency using AI. At present working in Data Science internships with NOAA (weather prediction using ML) and an AI startup. Pursued Masters in Geospatial Data science at UMich. In the past, worked in India in sectors of Renewable Energy (with SELCO Foundation) , Education ( with Teach For India and SINE, IIT Bombay) .
Interests/Experience
- Areas of Interest: Climate justice, Power and energy, Reinforcement learning and control, Disaster prediction, management, and relief, Climate and Earth science
- Areas of Experience: Climate justice, Data mining, Classification, regression, and supervised learning, Active learning, Time-series analysis, Ecosystems and natural resources
Seeking/Offering
- Seeking: Networking, Mentorship, Data, Employment opportunities, Internships, Research collaborations
Contact
- Location: MI
- Email: sdavedu@umich.edu
Jacob Bieker (Open Climate Fix)
Short Bio
Machine Learning Researcher focusing on using multi-modal data to predict solar power output. Previously at NASA, Google, and Scale AI doing ML for geospatial, commerical, and self-driving vehicle projects. Masters in Astrophyiscs, previous research on applying ML to large-scale sky surveys, nanosecond astronomical phenomena, and other physics problems.
Interests/Experience
- Areas of Interest: Active learning, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Interpretable ML, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Climate and Earth science, Active learning, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Time-series analysis
- Additional details: I've worked at NASA on using ML onboard Earth observation satellites, previously at Scale AI doing sensor fusion of lidar+rgb cameras for self-driving vehicle data and assisting human-in-the-loop labelling. Currently using satellite imagery to predict future PV yield.
Seeking/Offering
- Seeking: Networking, Pro-bono consulting, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Email: jacob@bieker.tech
- Website: https://www.jacobbieker.com
- Twitter URL: https://twitter.com/JacobBieker
- LinkedIn URL: https://www.linkedin.com/in/jacobbieker/
Björn Lütjens (Massachusetts Institute of Technology)
Short Bio
I'm a PhD Candidate making local climate information more accessible via machine learning, specifically, developing trustworthy climate emulators.
Interests/Experience
- Areas of Interest: Climate and Earth science, Hybrid physical models
- Areas of Experience: Climate and Earth science, Forestry and other land use, Computer vision and remote sensing, Hybrid physical models, Interpretable ML, Time-series analysis, Uncertainty quantification and robustness
- Additional details: Making local climate information more accessible with trustworthy climate emulators.
Seeking/Offering
- Seeking: Academic positions
- Offering: Mentorship, Research collaborations
- Additional details: Looking for faculty or industry research scientist/postdoctoral position in AI + Climate.
Contact
- Location: Cambridge, MA
- Website: https://blutjens.github.io/
- Twitter URL: https://twitter.com/bjornlutjens
- LinkedIn URL: https://www.linkedin.com/in/bjorn-lutjens/
- Circle URL: https://community.climatechange.ai/home
Gargi Singh (Texas A&M Transportation Institute)
Interests/Experience
- Areas of Interest: Buildings and cities, Transportation
Contact
- Location: TX
- Email: gargisingh.in@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/gargis/
Gopinath Rajendiran (Atsuya Technologies )
Short Bio
Currently, I am working on energy analytics and predictive maintenance of complex systems. Post-doctoral experience: I have worked on developing energy management strategies using non intrusive load monitoring (NILM) in buildings. I have developed decision support systems to monitor events and energy consumption of the electrical appliances/loads in a non-intrusive manner using machine learning/deep learning algorithms. The developed has product has also been tested successfully during various field trials and transferred the technology to industries. During my PhD, I have worked on developing fault diagnosis systems for electrical machines using machine learning and artificial intelligence techniques. My research focus was to learn the intelligence/knowledge from the proto-type system and then scale the model (transfer learning) to diagnose the faults in the actual/complex system, where the fault data samples are not easily available. My research interests include condition monitoring of engineering systems, vibration monitoring, predictive maintenance, energy management, signal processing, AI/machine learning, and data analytics.
Interests/Experience
- Areas of Interest: Buildings and cities, Industry, Power and energy, Classification, regression, and supervised learning, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Buildings and cities, Power and energy, Classification, regression, and supervised learning, Time-series analysis, Unsupervised and semi-supervised learning
- Additional details: condition monitoring of engineering systems, vibration monitoring, predictive maintenance, energy management, signal processing, AI/machine learning, and data analytics.
Seeking/Offering
- Seeking: Academic positions, Data, Employment opportunities, Mentorship, Networking, Research collaborations
- Offering: Mentorship, Networking, Paid consulting, Research collaborations
Contact
- Location: India
- Email: rgopinath.gct@gmail.com
- LinkedIn URL: https://in.linkedin.com/in/gopinathr87
Valentina Puddu
Short Bio
MSci Physics with Astrophysics, passionate about Data Sciece and Research Analysis. Bringing a scientific mindset and strong organisational skills to data driven decision making. Proven collaborator in cross functional teams, with experience excelling in remote work settings.
Interests/Experience
- Areas of Interest: Agriculture, Behavioral and social science, Carbon capture and sequestration, Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Industry, Power and energy, Societal adaptation, Active learning, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Hybrid physical models, Interpretable ML, Natural language processing, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Employment opportunities, Internships, Networking, Paid consulting
- Offering: Networking, Research collaborations
Contact
- Location: London, UK
- Email: val.puddu@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/valpu/
Olivier Asselin (Ouranos, Montreal (CA))
Short Bio
I studied the fluid dynamics of the atmosphere and oceans in academia for about 10 years. Last year, I left academia to join Ouranos, a Montreal-based NGO advising the Quebec government and other actors on climate adaptation. My current work focuses on the climate effects of forests.
Interests/Experience
- Areas of Interest: Agriculture, Climate and Earth science, Forestry and other land use, Power and energy, Societal adaptation
- Areas of Experience: Forestry and other land use, Climate and Earth science
Seeking/Offering
- Seeking: Networking, Mentorship
Contact
- Email: olivier.asselin.1@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/olivier-asselin-9913653a/
Pierre McWhannel (SFU)
Short Bio
PhD student in Sustainable Energy Engineering, exploring the intersection of AI and energy systems modelling in an effort against climate change.
Interests/Experience
- Areas of Interest: Policy, Power and energy, Classification, regression, and supervised learning, Data mining, Meta- and transfer learning, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness
- Areas of Experience: Classification, regression, and supervised learning, Data mining, Meta- and transfer learning, Natural language processing, Time-series analysis, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Mentorship, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Location: Vancouver, BC, Canada
- LinkedIn URL: https://www.linkedin.com/in/pierre-mcwhannel/
Marcel MAVINGA
Short Bio
I'm a coordinator of Action for the Safeguard of the Environment and Development (ASED), a non-profit organization working on the ground in the Democratic Republic of the Congo. Especially in increasing awareness of people in the Climate Change matters
Interests/Experience
- Areas of Interest: Climate finance
- Areas of Experience: Climate finance
- Additional details: Congo Basin Peat land researcher
Seeking/Offering
- Seeking: Funding
- Offering: Research collaborations
- Additional details: we provide for partners feasibility stuties concerning the Congo D. R.
Contact
- Location: CONGO D. R.
- Email: asedmalu@gmail.com
Jairo Torregrosa
Short Bio
I'm a data scientist interested in working on Climate Change.
Interests/Experience
- Areas of Interest: Computer vision and remote sensing, Natural language processing
- Areas of Experience: Computer vision and remote sensing
Seeking/Offering
- Seeking: Employment opportunities, Mentorship
- Offering: Networking
Contact
- Location: Colombia
- Email: torregrosa.ja@gmail.com
- Website: https://github.com/torregrosaj
- Twitter URL: https://twitter.com/jairotorregrose
- LinkedIn URL: https://www.linkedin.com/in/torregrosaj/
Akansha Singh Bansal (Gro Intelligence)
Short Bio
Develops computer vision models using satellite data for social good, climate and, sustainability.
Interests/Experience
- Areas of Interest: Unsupervised and semi-supervised learning, Computer vision and remote sensing
- Areas of Experience: Unsupervised and semi-supervised learning, Agriculture, Power and energy, Climate and Earth science, Computer vision and remote sensing
Seeking/Offering
- Seeking: Employment opportunities, Research collaborations
- Offering: Mentorship
Contact
- Location: San Francisco, CA
- Email: akanshasinghbansal@gmail.com
- Website: https://www.akanshasinghbansal.com/
- Twitter URL: https://twitter.com/akansha_asb
- LinkedIn URL: https://www.linkedin.com/in/akansha-singh-bansal-48016138/
Catarina (Nature Research Centre)
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Ecosystems and natural resources, Classification, regression, and supervised learning, Computer vision and remote sensing, Unsupervised and semi-supervised learning
- Areas of Experience: Ecosystems and natural resources, Classification, regression, and supervised learning, Unsupervised and semi-supervised learning
Contact
- Location: Portugal
- Email: catari.bio@gmail.com
- Twitter URL: https://twitter.com/Cataribio
- LinkedIn URL: https://www.linkedin.com/in/catarina-ns-silva/
Peetak Mitra (Palo Alto Research Center)
Short Bio
Scientist at Palo Alto Research Center working at the intersection of machine learning and computational physics.
Interests/Experience
- Areas of Interest: Generative modeling, Hybrid physical models, Classification, regression, and supervised learning, Active learning, Time-series analysis, Interpretable ML, Power and energy, Transportation, Climate and Earth science
- Areas of Experience: Hybrid physical models, Time-series analysis, Climate and Earth science
Contact
- Email: pmitra@umass.edu
- Website: https://www.sites.google.com/view/peetak
- Twitter URL: https://twitter.com/peetak_mitra
- LinkedIn URL: https://www.linkedin.com/in/peetak/
Jack Armitage (Intelligent Instruments Lab)
Short Bio
I am a postdoc at the Intelligent Instruments Lab, Iceland, where I design physical musical instruments, and embodied scientific instruments, using ML/AI. Previously I was Design Lead at Open Energy Labs in Zambia, designing a mobile learning platform teaching young people across sub-Saharan Africa how to design renewable energy systems. I have a doctorate in Media and Arts Technologies from Queen Mary University of London, where I studied in Prof. Andrew McPherson's Augmented Instruments Lab. My research interests include embodied interaction, craft practice and design cognition.
Interests/Experience
- Areas of Interest: Agriculture, Climate and Earth science, Climate justice, Disaster prediction, management, and relief, Power and energy
- Areas of Experience: Human-computer Interaction, Interpretable ML
- Additional details: I want to design embodied scientific instruments for climate scientists to explore and build intuition for their data.
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Funding, Mentorship, Networking, Paid consulting, Research collaborations
- Offering: Mentorship, Networking, Research collaborations
- Additional details: I can offer mentorship in startups, product design, interaction design, graphic design, sound and video production and much else.
Contact
- Location: Reykjavik, Iceland
- Email: jack@lhi.is
- Website: https://jackarmitage.com
- Twitter URL: https://twitter.com/jdkarmitage
- LinkedIn URL: https://www.linkedin.com/in/jackarmitage/
- Circle URL: https://community.climatechange.ai/u/1f17d7d5
Andreas (CYENS CoE)
Short Bio
Team leader at the Pervasive Real-World Computing for Sustainability (SuPerWorld) Multidisciplinary Research Group (MRG) of the newly established CYENS Center of Excellence in Nicosia, Cyprus. In parallel, I am an Assistant Professor at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) of the University of Twente, Netherlands, lecturing at the Creative Technologies BSc programme as well as the Computer Science MSc programme of the university.
Interests/Experience
- Areas of Interest: Agriculture, Buildings and cities, Ecosystems and natural resources, Forestry and other land use, Active learning, Computer vision and remote sensing
- Areas of Experience: Agriculture, Buildings and cities, Ecosystems and natural resources, Forestry and other land use
Seeking/Offering
- Seeking: Funding, Networking, Research collaborations
- Offering: Research collaborations
Contact
- Location: Nicosia, Cyprus
- Email: camel9@gmail.com
- Website: http://superworld.cyens.org.cy
- Twitter URL: https://twitter.com/AndreasKami
- LinkedIn URL: https://www.linkedin.com/in/andreaskami/
Rendani Mbuvha (University of Witwatersrand)
Short Bio
I am a lecturer in the School of Statistics and Actuarial Science at the University of the Witwatersrand. I completed a PhD in Artificial Intelligence at the University of Johannesburg focusing on probabilistic Machine Learning, an MSc in Computer Science and Engineering from KTH, Royal Institute of Technology in Sweden and a BSc Honours in Actuarial Science at the University of Cape Town.
Interests/Experience
- Areas of Interest: Climate finance, Disaster prediction, management, and relief, Causal and Bayesian methods, Data mining
- Areas of Experience: Causal and Bayesian methods, Classification, regression, and supervised learning, Data mining
Seeking/Offering
- Seeking: Funding, Research collaborations
Contact
- Website: http://www.rendanimbuvha.com
Aditya L. Ramadona (Department of Health Behaviour, Environment, and Social Medicine - Universitas Gadjah Mada)
Interests/Experience
- Areas of Interest: Behavioral and social science, Data mining
- Areas of Experience: Behavioral and social science, Data mining
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Pro-bono consulting
Contact
- Email: alramadona@ugm.ac.id
- Website: https://acadstaff.ugm.ac.id/alramadona
- Twitter URL: https://twitter.com/alramadona
- LinkedIn URL: https://id.linkedin.com/in/alramadona
- Circle URL: https://community.climatechange.ai/u/d94afcb1
Sodiq Jinad
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate and Earth science, Ecosystems and natural resources, Classification, regression, and supervised learning, Natural language processing, Time-series analysis
- Areas of Experience: Carbon capture and sequestration, Climate and Earth science, Classification, regression, and supervised learning
Seeking/Offering
- Seeking: Academic positions, Data, Employment opportunities, Internships, Mentorship, Networking
- Offering: Networking
Contact
- Location: Nigeria
- Email: sodiqjinad@yahoo.com
- Twitter URL: https://www.twitter.com/jay_sordhiq
- LinkedIn URL: https://www.linkedin.com/in/sodiq-jinad
- Circle URL: https://community.climatechange.ai/u/16b33530?
Pratyush Pandey (Birla Institute of Technology & Science, Pilani)
Short Bio
A final year undergraduate student at BITS Pilani, India, with a background in Civil Engineering and Machine Learning. I have worked on various climate-change and healthcare ML projects in the past. I am also a co-founder at a cleantech startup incubated at the Technology Business Incubator of BITS Pilani.
Interests/Experience
- Areas of Interest: Climate and Earth science, Disaster prediction, management, and relief, Causal and Bayesian methods, Classification, regression, and supervised learning, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness
- Areas of Experience: Disaster prediction, management, and relief, Classification, regression, and supervised learning, Natural language processing, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness
Seeking/Offering
- Seeking: Employment opportunities, Networking, Research collaborations
Contact
- Location: India
- Email: pratyushpandeyy@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/pratyush-pandey-a5016b201/
Mehdi Noori (Amazon ML Solutions Lab (Lead of Energy Vertical, Manager, and Senior Data Scientist))
Short Bio
Mehdi is a manager and a senior data scientist at Amazon ML Solutions Lab (MLSL). He helps identify and build ML solutions to address large organizations’ highest return-on-investment ML opportunities using AWS infrastructure. He also leads the Energy vertical in their organization. In the past, Mehdi has worked as a researcher and advocate for Climate Change, Sustainability, and Resilience. At MIT, Mehdi worked as a postdoctoral researcher at CSHub on topics related to resilience, sustainable transportation, and energy systems. He holds a PhD in Engineering from the University of Central Florida and studied EVs, Smart Cities, and Vehicle to Grid applications. Mehdi also worked at a utility company on emerging technologies in energy efficiency, green buildings, and net zero energy buildings where he held LEED AP and CEM certifications.
Interests/Experience
- Areas of Interest: Buildings and cities, Power and energy, Transportation, Active learning, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Interpretable ML, Natural language processing, Time-series analysis, Uncertainty quantification and robustness
Seeking/Offering
- Seeking: Networking, Pro-bono consulting
- Offering: Mentorship, Networking, Research collaborations
Contact
- Location: New York City
- Email: mehdi.noori7@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/mehdi-noori/
Weld Lucas Cunha (phd)
Short Bio
Electrical Engineer | Graduate Student | Data Scientist | Lifelong Learner
Interests/Experience
- Areas of Interest: Climate and Earth science, Power and energy, Classification, regression, and supervised learning, Computer vision and remote sensing, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Classification, regression, and supervised learning, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Research collaborations
- Offering: Networking
Contact
- Location: Brazil
- LinkedIn URL: https://www.linkedin.com/in/weldlucascunha/
Zikri Bayraktar (Schlumberger)
Short Bio
I am a senior AI research scientist, currently focusing on carbon capture tech.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration
- Areas of Experience: Natural language processing
- Additional details: I have over a decade long R&D experience post PhD in computational fields spanning from computational EM to semiconductors and from ML to carbon capture.
Seeking/Offering
- Seeking: Mentorship, Networking
- Offering: Mentorship, Networking, Startup co-founder
Contact
- Location: Cambridge, MA
- Website: http://www.zikribayraktar.com/
- Twitter URL: https://twitter.com/zikribayraktar
- LinkedIn URL: https://www.linkedin.com/in/zikribayraktar/
Aditi Roy
Interests/Experience
- Areas of Interest: Buildings and cities, Climate and Earth science, Time-series analysis
- Areas of Experience: Buildings and cities
Seeking/Offering
- Seeking: Employment opportunities, Internships
Contact
- Location: Bangladesh
- LinkedIn URL: https://www.linkedin.com/in/aditiroy0205/
Priya Dwivedi (Deep Learning Analytics, Georgia Tech, IIT Delhi)
Short Bio
I am the CEO of a startup that provides Machine Learning consulting to companies around the globe. I have 5 years+ experience applying deep learning to a variety of projects in computer vision and NLP domain. I am passionate about applying AI and very nervous about climate change. I am looking to collaborate with others to build useful applications.
Interests/Experience
- Areas of Experience: Unsupervised and semi-supervised learning, Classification, regression, and supervised learning, Meta- and transfer learning, Forestry and other land use, Carbon capture and sequestration, Natural language processing, Computer vision and remote sensing
- Additional details: I have 5+ years experience in Machine Learning techniques across computer vision, NLP and time series modeling. I am looking to contribute to the problem of climate change. I am particularly interested in remote sensing applications involving forestry and land use as well as carbon capture and sequestration
Seeking/Offering
- Seeking: Research collaborations, Startup co-founder
- Offering: Mentorship, Research collaborations, Startup co-founder, Pro-bono consulting
- Additional details: I am looking to collaborate with others on research related to remote sensing applications. I have founded a startup that I currently lead. I am also interested in partnering with others on potential startup at the intersection of climate change and ML.
Contact
- Location: Toronto
- Email: priya@deeplearninganalytics.org
- Website: http://deeplearninganalytics.org
- LinkedIn URL: https://www.linkedin.com/in/priyanka-dwivedi-6864362/
Erwin Rose (U.S. Department of State; UN Climate Technology Centre & Network)
Short Bio
Erwin Rose is a foreign affairs officer at the U.S. Department of State, Office of Global Change, Bureau of Oceans, Environment and Science. He is the chair of the UN Climate Technology Centre & Network Advisory Board and a member of the UNFCCC Technology Executive Committee.
Interests/Experience
- Areas of Interest: Policy
- Areas of Experience: Policy
Contact
- Location: Washington, DC
- Email: RoseE@state.gov
- LinkedIn URL: https://www.linkedin.com/in/erwinrose/
Đurđica V. (University of Rijeka)
Short Bio
PhD student enrolled in an „Informatics“ doctoral program with research interests in data science, graph theory, curriculum design, and education sciences, possesses skills in statistical analysis, programming, data visualization and leveraging data science techniques to uncover insights and solve complex problems (participated in several DS projects), passionate about AI for social good.
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate and Earth science, Climate finance, Disaster prediction, management, and relief, Ecosystems and natural resources, Societal adaptation, Transportation, Generative modeling, Interpretable ML, Natural language processing, Recommender systems
- Areas of Experience: Behavioral and social science, Classification, regression, and supervised learning, Interpretable ML, Natural language processing
Seeking/Offering
- Seeking: Data, Employment opportunities, Funding, Mentorship, Networking, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Location: Croatia
- Email: duvuki@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/%C4%91ur%C4%91ica-v-871b48144
Thomas Y. Chen (Academy for Mathematics, Science, and Engineering)
Short Bio
Thomas Chen is a student and machine learning researcher from the Academy for Mathematics, Science, and Engineering (NYC metro area). He is primarily interested in applying ML and computer vision to real-world climate adaptation (e.g. deep learning-based computer vision for damage assessment post-natural disaster). He has been an invited speaker at conferences like the IEEE Conference on Technologies for Sustainability, American Geophysical Union Fall Meeting, and the Energy Anthropology Network. Thomas has also spoken at events like NeurIPS and CVPR workshops, Applied Machine Learning Days, the Open Data Science Conference, and Machine Learning Week Europe. He is a leading voice in the area of machine learning-driven earth observation (EO) applications. Thomas is a member of the U.S. Technology Policy Committee (Association for Computing Machinery) and the Research Data Alliance.
Interests/Experience
- Areas of Interest: Buildings and cities, Carbon capture and sequestration, Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Policy, Societal adaptation, Transportation, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Interpretable ML, Meta- and transfer learning, Natural language processing, Time-series analysis
- Areas of Experience: Buildings and cities, Disaster prediction, management, and relief, Policy, Societal adaptation, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Interpretable ML
- Additional details: Check out my paper on interpretable computer vision for damage assessment and disaster relief using satellite imagery at the NeurIPS 2020 workshop!
Seeking/Offering
- Seeking: Data, Employment opportunities, Funding, Mentorship, Networking, Research collaborations, Startup co-founder
- Offering: Networking, Research collaborations, Startup co-founder
Contact
- Location: New Jersey
- Email: thomaschen7@acm.org
- Website: https://www.rd-alliance.org/users/thomas-chen
- Twitter URL: https://twitter.com/thomaychen
- Circle URL: https://community.climatechange.ai/u/7a49a3e4
Anmol Chaure (Assistant Professor )
Interests/Experience
- Areas of Interest: Climate and Earth science, Disaster prediction, management, and relief, Classification, regression, and supervised learning, Generative modeling, Hybrid physical models, Interpretable ML, Uncertainty quantification and robustness
Seeking/Offering
- Seeking: Academic positions, Data, Employment opportunities, Internships, Research collaborations
Contact
- Location: India
- Email: anmol.chaure@gmail.com
- Website: https://sites.google.com/view/anmolchaure/home?authuser=0
- LinkedIn URL: https://www.linkedin.com/in/anmol-chaure
Dilinna Nwobi (CPEEL)
Short Bio
The Centre for Petroleum, Energy Economics and Law, fondly called CPEEL, is the pre-eminent Centre for graduate energy studies and contemporary energy research in Nigeria. CPEEL was established through the generous support of John. D. and Catherine T. MacArthur Foundation as a Regional Centre of Excellence. The main goal of the Centre is to train highly skilled personnel and conduct research on energy. The Centre was established, July 2011 and designed to strengthen the human capacity in sub-Saharan Africa’s energy sector. It was established as a Multidisciplinary Centre with the aim of bringing together energy professionals in the Sciences, Engineering, Law, Humanities, Social Sciences, and other related areas, in order to address energy issues in a holistic and collaborative manner. CPEEL covers all aspects of energy, including oil and gas, electricity, renewable, climate change, energy finance, regulations and energy contracts, rural energy and poverty, waste to energy as well as energy technology. The flagship of CPEEL is graduate training leading to the awards of Master and Doctorate degrees in Energy Studies and Energy Law as well as research on diverse energy issues. It is presently the only Centre of its kind in the African Region and maintains a cordial relationship with similar Energy Centres in Europe and America. CPEEL is also set to expand the scope of its responsibilities to community-based intervention. The Centre maintains extensive collaborations with various ministries, departments, agencies of government, local and international civil society organizations, development agencies, energy companies, research organizations, national assembly, and renowned global energy Centres.
Interests/Experience
- Areas of Interest: Power and energy
- Areas of Experience: Climate and Earth science, Policy
Seeking/Offering
- Seeking: Lacuna Fund Collaborations
- Offering: Lacuna Fund Collaborations
Contact
- Location: Nigeria
- Email: dnwobi5622@stu.ui.edu.ng
- Website: https://cpeel.ui.edu.ng/
Denis Pastory Rubanga (Tokyo University of Agriculture)
Short Bio
An applied data scientist/Research scientist with 10+ years of experience. Taking lead in innovative data strategies with the technical multidisciplinary background to develop, and plan products/projects that have socially impacted thousands of people. Seeing a positive impact on marginalized and struggling communities is one of my motives.
Interests/Experience
- Areas of Interest: Agriculture, Climate and Earth science, Disaster prediction, management, and relief, Societal adaptation, Classification, regression, and supervised learning, Computer vision and remote sensing
- Areas of Experience: Agriculture, Classification, regression, and supervised learning, Computer vision and remote sensing
Seeking/Offering
- Seeking: Paid consulting, Lacuna Fund Collaborations, Employment opportunities
- Offering: Mentorship
Contact
- Location: Tokyo-Japan
- Email: denispastoty@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/denispastory/
Francis Murray (Swiss Federal Institute of Technology (EPFL))
Short Bio
Senior CS grad student at EPFL, Switzerland, specializing in Data Science. Passionate about using Machine Learning to combat climate change and make a positive impact on the world.
Interests/Experience
- Areas of Interest: Behavioral and social science, Buildings and cities, Carbon capture and sequestration, Power and energy, Transportation, Computer vision and remote sensing, Data mining, Interpretable ML, Natural language processing, Recommender systems, Time-series analysis
- Areas of Experience: Carbon capture and sequestration, Data mining, Interpretable ML, Recommender systems, Time-series analysis
Seeking/Offering
- Seeking: Academic positions, Internships
- Additional details: Looking to pursue a six-month Master's thesis at the intersection of AI and Climate Change.
Contact
- Location: Lausanne, Switzerland
- Email: francis.murray@epfl.ch
- Website: https://github.com/francis-murray
- LinkedIn URL: https://www.linkedin.com/in/franciswmurray/
Asmaa (Vodafone)
Short Bio
AI Solution Architect
Interests/Experience
- Areas of Interest: Agriculture, Climate and Earth science, Policy
- Areas of Experience: Disaster prediction, management, and relief, Classification, regression, and supervised learning, Recommender systems
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Paid consulting, Research collaborations
Contact
- Email: asmaa.ibrahim12@gmail.com
- Twitter URL: http://rwitter.com/asmaaibrahim101
- LinkedIn URL: http://www.linkedin.com/in/asmaa-ibrahim
Kelvin Kwok (Technical University of Munich, Germany)
Short Bio
Current student of MSc Technology of Biogenic Resources. With prior software engineering working experience and some experience in machine learning and deep learning (with Pytorch). Possess academic background in Chemistry and Earth System Science.
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate and Earth science, Ecosystems and natural resources, Industry, Power and energy
- Areas of Experience: Climate and Earth science, Power and energy
Seeking/Offering
- Seeking: Employment opportunities, Internships, Mentorship
- Additional details: Looking for internships / freelance work / part-time remote work.
Contact
- Location: Germany
- LinkedIn URL: https://www.linkedin.com/in/kelvinkmkwok/
- Circle URL: https://community.climatechange.ai/u/3d3906d8?
Edward Chen (Idemitsu Renewables)
Interests/Experience
- Areas of Interest: Buildings and cities, Carbon capture and sequestration, Climate and Earth science, Climate finance, Power and energy
- Areas of Experience: Buildings and cities, Climate finance, Power and energy
Seeking/Offering
- Seeking: Networking
- Offering: Networking
Contact
- Location: San Francisco
- Email: chenkp.edward2015@outlook.com
- LinkedIn URL: https://www.linkedin.com/in/kaipei-chen/
David Chen
Short Bio
Ex-quant, now working in carbon emissions accounting.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Industry, Power and energy, Causal and Bayesian methods, Classification, regression, and supervised learning, Natural language processing, Recommender systems, Reinforcement learning and control, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Classification, regression, and supervised learning, Natural language processing, Recommender systems, Time-series analysis
- Additional details: I used to be a quant trader, have built statistical models for stock price predictions, have a patent involving some NLP methods, and am overall technical. I have not touched much of modern machine learning (deep learning and such).
Seeking/Offering
- Seeking: Funding, Mentorship, Networking
- Offering: Funding, Networking, Paid consulting, Pro-bono consulting
Contact
- Location: NY
- LinkedIn URL: https://www.linkedin.com/in/david-chen-71722b7/
Saman Halgamuge (University of Melbourne)
Short Bio
Professor working on FAIR AI, that is explainable AI with democratised access.
Interests/Experience
- Areas of Interest: Generative modeling, Unsupervised and semi-supervised learning, Power and energy, Transportation, Classification, regression, and supervised learning, Time-series analysis, Climate and Earth science, Interpretable ML
- Areas of Experience: Generative modeling, Unsupervised and semi-supervised learning, Power and energy, Classification, regression, and supervised learning, Interpretable ML, Computer vision and remote sensing
Contact
- Location: Melbourne, Australia
- Email: saman@unimelb.edu.au
- Website: https://findanexpert.unimelb.edu.au/profile/2854-saman-halgamuge
- LinkedIn URL: https://au.linkedin.com/in/saman-halgamuge-4a49508
Osama Hadba
Contact
- Location: Istanbul, TR
- Email: talarfad1@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/osamahadba/
Pandarasamy Arjunan (Indian Institute of Science)
Short Bio
Assistant Professor
Interests/Experience
- Areas of Interest: Agriculture, Buildings and cities, Power and energy, Classification, regression, and supervised learning, Computer vision and remote sensing, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Buildings and cities, Classification, regression, and supervised learning, Interpretable ML, Time-series analysis, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Data, Research collaborations
- Offering: Internships, Mentorship
Contact
- Location: Bangalore
- Website: https://www.samy101.com/
- Twitter URL: https://www.twitter.com
- LinkedIn URL: https://www.linkedin.com/in/pandarasamy-arjunan-5580a215/
AYEDJO Djima
Short Bio
Je suis juriste environnementaliste. J'ai une forte admiration pour les causes environnementales. La justice climatique est l'une des cause que je défend beaucoup.
Interests/Experience
- Areas of Interest: Climate justice
- Areas of Experience: Climate justice
Seeking/Offering
- Seeking: Employment opportunities
- Offering: Paid consulting
Contact
- Location: Togo
- Email: ayedjo20@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/ezekiel-ayedjo-776a33117
Vincent Mai (Mila - Université de Montréal)
Interests/Experience
- Areas of Interest: Climate justice, Disaster prediction, management, and relief, Ecosystems and natural resources, Power and energy, Transportation, Computer vision and remote sensing, Reinforcement learning and control, Uncertainty quantification and robustness
- Areas of Experience: Power and energy, Computer vision and remote sensing, Reinforcement learning and control, Uncertainty quantification and robustness
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Internships, Mentorship, Networking
- Offering: Research collaborations
Contact
- Location: Montreal
- Email: vincent.mai@umontreal.ca
- LinkedIn URL: https://www.linkedin.com/in/mai-vincent/
Sara El Mekkaoui (DNV)
Short Bio
Researcher at DNV working on the safe application of Machine Learning techniques in industrial areas, including safety critical systems.
Interests/Experience
- Areas of Interest: Transportation, Classification, regression, and supervised learning, Industry, Interpretable ML
- Areas of Experience: Transportation, Classification, regression, and supervised learning, Industry, Uncertainty quantification and robustness
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Location: Oslo, Norway
- Email: sara.el.mekkaoui@dnv.com
- Twitter URL: https://twitter.com/saraelmekkaoui
- LinkedIn URL: https://www.linkedin.com/in/sara-el-mekkaoui-2518a614/
McLain Faett
Short Bio
Hello! I'm building a startup (Build AI) that has the mission of drastically reducing the cost and environmental impact of training AI models.
Interests/Experience
- Areas of Interest: Climate and Earth science, Power and energy, Computer vision and remote sensing, Generative modeling
- Areas of Experience: Power and energy
Seeking/Offering
- Seeking: Funding, Networking, Startup co-founder
- Offering: Employment opportunities, Internships, Mentorship, Networking
Contact
- Location: New York, NY
- Email: mfaett@atomic.vc
- Website: https://www.trybuild.ai/
- LinkedIn URL: https://www.linkedin.com/in/mclainfaett/
Martin Van der Linden (Emory University)
Short Bio
I am a professor of Data Science at Emory University considering a career change outside of academia. I am eager to put my skills to practical use to tackle sustainability challenges.
Interests/Experience
- Areas of Interest: Agriculture, Behavioral and social science, Buildings and cities, Power and energy, Transportation, Classification, regression, and supervised learning, Computer vision and remote sensing, Time-series analysis
- Areas of Experience: Behavioral and social science, Classification, regression, and supervised learning, Time-series analysis
- Additional details: I have been teaching Data Science courses for the last three years at Emory. I am an expert R and Shiny user, and I am familiar with Python. I also have experience in Statistical Analysis and exposure to Machine Learning. Through consulting experiences, I’ve developed experience with front-end web development and interactive online data visualizations, including GIS. I have experience with many Javascript data-visualization packages such as D3, Mapbox, Highchart, and Leaflet. I often use React as the backbone framework for the dashboards I create.
Seeking/Offering
- Seeking: Employment opportunities, Mentorship, Networking, Paid consulting, Pro-bono consulting
Contact
- Location: Atlanta, GA
- Email: consult.linden@gmail.com
- Website: https://martinvanderlinden.com
- Twitter URL: https://twitter.com/vdlindenmart
- LinkedIn URL: https://www.linkedin.com/in/martin-van-der-linden-74957222a/
- Circle URL: https://community.climatechange.ai/u/06ed36ff
Johannes Leon Kirnberger (OECD)
Short Bio
I am a policy consultant for AI and sustainability at the OECD, and I previously led the program on climate action and biodiversity preservation at the Global Partnership on AI (GPAI) and the International Centre of Expertise in Montreal on AI (CEIMIA).
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate and Earth science, Policy, Power and energy
- Areas of Experience: Climate and Earth science, Policy
Seeking/Offering
- Seeking: Data, Research collaborations
- Offering: Mentorship, Networking, Research collaborations
Contact
- Location: Paris
- Email: johannes.kirnberger@oecd.org
- Website: https://johanneskirnberger.com
- Twitter URL: https://twitter.com/JLKirnberger
- LinkedIn URL: https://www.linkedin.com/in/johanneskirnberger/
Deva Sou (Independant)
Short Bio
Data Scientist Junior in Deep Learning applied to automatic wildlife recognition, I am driven by the desire to gain more knowledge and skills. I want to use the skills I already have to develop and produce projects to conserve biodiversity.
Interests/Experience
- Areas of Interest: Climate and Earth science, Forestry and other land use, Computer vision and remote sensing
- Areas of Experience: Computer vision and remote sensing
- Additional details: I use Deep Learning for automatic wildlife recognition
Seeking/Offering
- Seeking: Employment opportunities, Networking, Paid consulting
- Additional details: I'm looking forward to talk to you guys. Searching for remote opportunities.
Contact
- Location: France
- Email: devasou@skiff.com
- LinkedIn URL: https://www.linkedin.com/in/deva-sou
Negin Katal (Max Planck Institute for Biogeochemistry)
Short Bio
currently, I'm a Ph.D. student at MPI for Biogeochemistry in Jena. I'm researching applying ML for phenological modeling using citizen science.
Interests/Experience
- Areas of Interest: Hybrid physical models, Classification, regression, and supervised learning, Disaster prediction, management, and relief, Time-series analysis, Climate and Earth science, Ecosystems and natural resources, Interpretable ML
- Areas of Experience: Classification, regression, and supervised learning, Disaster prediction, management, and relief, Climate and Earth science, Ecosystems and natural resources
Seeking/Offering
- Seeking: Networking, Mentorship, Research collaborations
Contact
- Email: nkatal@bgc-jena.mpg.de
- Website: https://www.bgc-jena.mpg.de/bgi/index.php/People/NeginKatal
- Twitter URL: https://twitter.com/KatalNegin
- LinkedIn URL: https://www.linkedin.com/in/negin-katal-a4938b18b/
Evan David Sherwin (Stanford University, Energy Resources Engineering)
Short Bio
Founding member of CCAI, Chair of Programs Committee. Studying decarbonizing hydrocarbons, particularly #methane.
Interests/Experience
- Areas of Interest: Classification, regression, and supervised learning, Time-series analysis, Uncertainty quantification and robustness, Power and energy, Behavioral and social science, Carbon capture and sequestration, Policy
- Areas of Experience: Classification, regression, and supervised learning, Time-series analysis, Uncertainty quantification and robustness, Power and energy, Behavioral and social science, Carbon capture and sequestration, Policy
Contact
- Email: evands@stanford.edu
- Website: https://www.evansherwin.com/
- Twitter URL: https://twitter.com/EvanDSherwin
- LinkedIn URL: https://www.linkedin.com/in/evansherwin/
Jerry Huang (Harvard)
Short Bio
Jerry Huang, founder and CEO of CarbonSense Technologies, and Chairman of the U.S.-Asia Sustainable Development Foundation. He holds Bachelor of Science in Computer Science from Harvard University, won Top 30 Chinese elites under 30 in the United States, became the youngest cyclist in the world to cross Europe and Asia, has won a number of national honors and patents, and has been featured in multiple national media coverage.
Interests/Experience
- Areas of Interest: Industry, Policy, Power and energy
- Areas of Experience: Power and energy
- Additional details: Jerry Huang, founder and CEO of CarbonSense Technologies, and Chairman of the U.S.-Asia Sustainable Development Foundation. He holds Bachelor of Science in Computer Science from Harvard University, won Top 30 Chinese elites under 30 in the United States, became the youngest cyclist in the world to cross Europe and Asia, has won a number of national honors and patents, and has been featured in multiple national media coverage.
Contact
- Location: United States
- Email: jerry.huang@uasdf.org
- Website: https://www.uasdf.org
- LinkedIn URL: https://linkedin.com/in/jerryh01
Levente Klein (IBM Research)
Short Bio
I'm a research scientist at IBM Research working at the intersection of big data, geospatial intelligence and machine learning.
Interests/Experience
- Areas of Interest: Climate and Earth science
- Areas of Experience: Ecosystems and natural resources
Seeking/Offering
- Seeking: Networking
- Offering: Research collaborations
Contact
- Website: https://resedit.watson.ibm.com/researcher/view.php?person=us-kleinl
- Twitter URL: https://twitter.com/leventek
- LinkedIn URL: https://www.linkedin.com/in/levente-klein-5824a19/
- Circle URL: https://community.climatechange.ai/u/cec8f3cc
Desmond Botchway (Student)
Short Bio
“The Climate Change Guy” is what I’m popularly called in school. Hi, I’m Desmond. A passionate individual who fancies climate change and it’s positive & negative repercussions on the environment
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Disaster prediction, management, and relief, Ecosystems and natural resources, Societal adaptation, Active learning, Computer vision and remote sensing, Interpretable ML, Unsupervised and semi-supervised learning
- Areas of Experience: Ecosystems and natural resources
Seeking/Offering
- Seeking: Internships, Mentorship, Networking, Research collaborations
- Offering: Data
Contact
- Location: Ghana
- Email: desmondbotchway52@gmail.com
Robert Murphy (Breakthrough Energy / Othersphere)
Short Bio
Breakthrough Energy Fellow and founder Othersphere, a startup venture focused on location optimization for zero / low GHG industrial assets. Volunteering includes board of Berkeley Earth and steering committee for Carbon Mapper project.
Seeking/Offering
- Offering: Employment opportunities, Pro-bono consulting
- Additional details: Will be posting periodically about opportunities with Othersphere.
Contact
- Location: BC, Canada
- Website: https://www.othersphere.io
- LinkedIn URL: https://www.linkedin.com/in/rjmurphy/
Frank Stein (Virginia Tech)
Short Bio
Frank is on the faculty of the Intelligent Systems Department of Virginia Tech where he focuses on AI adoption issues, including trustworthy systems, human-machine teaming, and digital engineering. He is very interested in the application of AI and other innovations to help mitigate and adapt to climate change. He was co-chair of the AAAI Fall Symposium on "The Role of AI in responding to the Climate Challenge." He is also on the IEEE Planet Positive 2030 task force focusing on Mitigation and Adaptation strategies.
Interests/Experience
- Areas of Interest: Buildings and cities, Carbon capture and sequestration, Disaster prediction, management, and relief, Power and energy, Societal adaptation
Contact
- Location: Virginia, US
- Email: fstein@ieee.org
Mariette Awad
Short Bio
Mariette Awad is the director of the Artificial Intelligence, Data Science and Computing Hub at American University of Beirut (AUB), Lebanon and a tenured associate professor at the ECE department. Prof. Awad is among the top 2% of influential scholars in 2022 by Stanford University and has published over 130 manuscripts in reputable journals and conferences where 25% of her publications are among the top 10% in the field. Her best seller book “Efficient Learning Machines” was one of the 5 most downloaded books by Springer Nature in Sept 2020. Springer Nature, is a leading authority in publishing textbooks and academic books for more than 175 years. Dr. Awad promotes women in engineering and she is a co-organizer and an ambassador for the AUB Women in Data Science (WiDS) Conference, a technical conference organized in close collaboration with the Stanford Institute for Computational and Mathematical Engineering (ICME). Beyond academia, Dr. Awad is actively involved in industry collaborations and consulting projects. She has worked with many UN organizations such as UNESCO, UNICEF and ESCWA as an Artificial Intelligence Expert and a co-founder for HolexP, an online platform to teach programming hardware using Natural Language Processing.
Interests/Experience
- Areas of Interest: Buildings and cities, Transportation, Disaster prediction, management, and relief, Computer vision and remote sensing
- Areas of Experience: Buildings and cities, Unsupervised and semi-supervised learning, Data mining, Classification, regression, and supervised learning, Reinforcement learning and control, Recommender systems, Interpretable ML, Natural language processing, Computer vision and remote sensing
Contact
- Email: mariette.awad@aub.edu.lb
- LinkedIn URL: https://www.linkedin.com/in/mariette-awad/
Dominik Ehlert (adelphi research gGmbH)
Short Bio
Currently Data Scientist and AI enthusiast at adelphi reserach gGmbH. MSc in climate physics.
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate and Earth science, Industry, Power and energy, Data mining, Natural language processing
- Areas of Experience: Behavioral and social science, Industry, Power and energy
- Additional details: Currently Data Scientist and AI enthusiast at adelphi reserach gGmbH. MSc in climate physics.
Seeking/Offering
- Seeking: Data, Funding, Networking, Research collaborations
- Offering: Paid consulting, Pro-bono consulting, Research collaborations
Contact
- Location: Berlin, Germany
- Email: ehlert@adelphi.de
- Website: https://adelphi.de/en
- LinkedIn URL: https://www.linkedin.com/in/dominik-ehlert-5b26341a5/
RODRIGUES KWATE KWATE
Interests/Experience
- Areas of Interest: Policy, Power and energy
- Areas of Experience: Industry, Policy, Power and energy
Contact
- Location: Canada
- Email: rkwate2009@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/rodrigues-kwate-kwate-1b0903169
Anurag Sharma
Short Bio
I am about to graduate with a Bachelor of Technology in Computer Engineering degree in June 2023 from Punjabi University, Patiala. Looking forward to increasing my knowledge & experience in tech especially AI/ML and environmental sustainability.
Interests/Experience
- Additional details: I'm yet to explore my area of interests and gain experience based on top of that.
Seeking/Offering
- Seeking: Employment opportunities, Internships, Mentorship, Networking
Contact
- Location: Punjab, India
- Twitter URL: https://twitter.com/anurag01a
- LinkedIn URL: https://www.linkedin.com/in/anurag01a/
Qiao Kang (Memorial University of Newfoundland)
Short Bio
A soon graduating Ph.D. student in environmental engineering. Recent research focuses on interpretable machine learning and causal inference applications in various macro-micro environmental topics such as environmental health and climate change, as well as the fate and transport of contaminants.
Interests/Experience
- Areas of Interest: Hybrid physical models, Causal and Bayesian methods, Data mining, Meta- and transfer learning, Climate and Earth science, Interpretable ML
- Areas of Experience: Hybrid physical models, Causal and Bayesian methods, Data mining, Classification, regression, and supervised learning, Time-series analysis, Interpretable ML
- Additional details: On my way to becoming an AI researcher in the environmental science field.
Seeking/Offering
- Seeking: Data, Employment opportunities, Internships, Mentorship, Networking
- Offering: Networking, Research collaborations, Startup co-founder, Pro-bono consulting
Contact
- Location: Newfoundland, Canada
- Website: https://scholar.google.com/citations?hl=en&user=FZmq-TAAAAAJ
- Twitter URL: https://twitter.com/kangqiao_21
- LinkedIn URL: https://www.linkedin.com/in/qiao-kang-ops/
- Circle URL: https://community.climatechange.ai/u/bf74e9e5
Humphrey agevi (Masinde Muliro University of Science and Technology )
Short Bio
PhD in Environmental Biology with bias in Ecology, carbon stocks assessment and climate change mitigation
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate and Earth science, Ecosystems and natural resources
- Areas of Experience: Carbon capture and sequestration, Climate and Earth science, Ecosystems and natural resources, Forestry and other land use
Seeking/Offering
- Seeking: Networking, Mentorship, Lacuna Fund Collaborations, Research collaborations, Academic positions
- Offering: Mentorship, Networking, Research collaborations
Contact
- Location: Kenya
- Email: hagevi@mmust.ac.ke
- LinkedIn URL: https://www.linkedin.com/in/humphrey-agevi-phd-faag-22b72958
Dr. Emmanuel Ande Ivorgba (The Emmanuel Ivorgba Foundation)
Short Bio
Dr. Emmanuel Ande Ivorgba is a success-driven Visionary, Administrator, Educator, Researcher, Grassroots Peacebuilder, Conflict Resolution Practitioner and Solutions Economist with years of experience driving dramatic results in the nonprofit sector, empowering young people with tools to heal them- selves, build bridges across their differences, and create the space for peace to flourish in West Africa. A stellar-human being whose personal example and real-life social models have far-reaching effects crossing international borders, influencing numerous communities and nations for good and whose work in conflict resolution and peacebuilding has directly impacted youth in Nigeria, strengthening their emotional, spiritual and social maturity and whose activities establish cross- cultural teams of at-risk young men and women focusing on skill building that helps them emerge from dysfunctional families and a drug influenced life on the streets:
Interests/Experience
- Areas of Interest: Agriculture, Behavioral and social science, Disaster prediction, management, and relief, Policy
- Areas of Experience: Agriculture, Behavioral and social science, Disaster prediction, management, and relief, Ecosystems and natural resources
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Funding, Lacuna Fund Collaborations, Networking, Paid consulting, Research collaborations, Startup co-founder
- Offering: Mentorship, Networking, Pro-bono consulting, Research collaborations
Contact
- Location: Nigeria
- Email: eivorgba@gmail.com
- Website: https://www.teivorgbafoundation.org/
- Twitter URL: https://twitter.com/TheIvorgba
- LinkedIn URL: https://www.linkedin.com/in/eivorgba/
Amos Olwendo (Lecturer at Jomo Kenyatta University of Agriculture & Technology)
Short Bio
I am a Lecturer of Health Informatics with a passion for machine applications and am eager to apply my skills to sustainability challenges.
Interests/Experience
- Areas of Interest: Causal and Bayesian methods, Classification, regression, and supervised learning, Data mining, Unsupervised and semi-supervised learning
- Areas of Experience: Classification, regression, and supervised learning, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Research collaborations
- Offering: Research collaborations
Contact
- Location: Kenya
- Email: aolwend@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/amos-otieno-olwendo-phd-37209a68/
Karen Wang (Imperial College London)
Short Bio
Forbes U30, A do-er, starter, violinist, and data science researcher, recently working on carbon accounting Data Science@ex-Microsoft, www.wids-shanghai.org/ TEDx@www.ted.com/tedx/events/40885 Synthetic Bio Startup@www.felesbio.com/ ClimateStartup@www.carbonbase.co
Interests/Experience
- Areas of Interest: Buildings and cities, Carbon capture and sequestration, Climate finance, Power and energy, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Time-series analysis
- Areas of Experience: Buildings and cities, Climate finance, Classification, regression, and supervised learning, Computer vision and remote sensing, Natural language processing, Time-series analysis
- Additional details: Recently, I am building a carbon accounting SaaS for buildings
Seeking/Offering
- Seeking: Networking
- Offering: Research collaborations
Contact
- Location: London
- LinkedIn URL: https://www.linkedin.com/in/hanyuanwang/
- Circle URL: https://community.climatechange.ai/u/b5b9127a
Dina Rasquinha (WWF)
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate finance, Climate justice, Ecosystems and natural resources, Societal adaptation, Computer vision and remote sensing, Generative modeling
Himanshu Sharma (Pacific Northwest National Laboratory)
Short Bio
I'm a research scientist at PNNL, my research focuses on developing advanced modeling and optimization based controls for complex physical systems and specifically building systems for resilience, sustainability, and energy efficiency. My research research interest includes Machine learning, Reinforcement Learning, Uncertainty quantification, Computational Fluid Dynamics, Dynamics and control for complex-physical systems such as energy systems & smart building systems.
Interests/Experience
- Areas of Interest: Buildings and cities, Climate and Earth science, Power and energy, Causal and Bayesian methods, Interpretable ML, Reinforcement learning and control, Uncertainty quantification and robustness
- Areas of Experience: Buildings and cities, Climate and Earth science, Power and energy, Classification, regression, and supervised learning, Hybrid physical models, Reinforcement learning and control, Uncertainty quantification and robustness
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Employment opportunities, Internships, Mentorship
Contact
- Location: Chicago, IL
- Email: himanshu90sharma@gmail.com
- Website: https://himscipy.github.io/
- LinkedIn URL: https://www.linkedin.com/in/hsharma2328/
- Circle URL: https://community.climatechange.ai/u/cdb4f8cb
Maryam Rahnemoonfar (Lehigh University)
Interests/Experience
- Areas of Interest: Climate and Earth science, Disaster prediction, management, and relief, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Hybrid physical models, Unsupervised and semi-supervised learning
- Areas of Experience: Climate and Earth science, Disaster prediction, management, and relief, Computer vision and remote sensing, Hybrid physical models
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Employment opportunities, Internships, Mentorship, Research collaborations
Contact
- Location: United States
- Email: maryam@lehigh.edu
- Circle URL: https://engineering.lehigh.edu/faculty/maryam-rahnemoonfar
Kunal Khurana (Research Assistant)
Short Bio
I am a soil physicist broadly trained in agronomy, soil fertility, and plant nutrition. As a researcher, I seek answers to the fundamental questions about agricultural water management and soil health amelioration in the different (agro)ecosystems. My specific research interests include studying and improving available crop water and nutrient (carbon, nitrogen, etc.) uptake efficiency using machine learning tools.
Interests/Experience
- Areas of Interest: Classification, regression, and supervised learning
- Areas of Experience: Agriculture, Carbon capture and sequestration, Classification, regression, and supervised learning
Seeking/Offering
- Seeking: Funding, Paid consulting, Research collaborations
Contact
- Location: Montréal
- Email: Kunal.khurnan@mcgill.ca
- Website: https://kkhurana007.github.io/kunal.github.io/
- LinkedIn URL: https://www.linkedin.com/in/khuranasoils/
Kim Bente (University of Sydney, ARC Training Centre in Data Analytics for Resources and Environments (DARE))
Short Bio
Data Science PhD student working on Probabilistic Machine Learning methods for the Polar Climate Sciences.
Interests/Experience
- Areas of Interest: Climate and Earth science, Ecosystems and natural resources, Causal and Bayesian methods, Data mining, Human-computer Interaction, Interpretable ML, Uncertainty quantification and robustness
- Areas of Experience: Causal and Bayesian methods, Data mining
Contact
- Location: Sydney, Australia
- Email: kim.bente@sydney.edu.au
- Website: https://kimbente.com/
- Twitter URL: https://twitter.com/bente_kim
- LinkedIn URL: https://www.linkedin.com/in/kim-bente-626048151/
Felipe Oviedo
Short Bio
ML research at MSFT AI for Good
Interests/Experience
- Areas of Interest: Generative modeling, Hybrid physical models, Unsupervised and semi-supervised learning, Classification, regression, and supervised learning, Recommender systems, Active learning
- Areas of Experience: Generative modeling, Forestry and other land use, Industry, Climate and Earth science
Contact
- Email: foviedo@mit.edu
James Crowley
Short Bio
Experienced CTO/founder in the SaaS fintech world, now working with start-ups and NGOs focused on climate
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate finance, Power and energy
- Areas of Experience: Climate finance
- Additional details: Experience includes building platforms streaming high volume IoT data from energy storage devices to data collection for agroforestry. Looking to build my ML expertise - and share my existing SaaS expertise.
Seeking/Offering
- Seeking: Networking, Paid consulting
- Offering: Mentorship, Pro-bono consulting
Contact
- Twitter URL: https://twitter.com/jamescrowley
- LinkedIn URL: https://linkedin.com/in/jamescrowley
- Circle URL: https://community.climatechange.ai/u/e0497a5b
Abdishakur (Jamhuriye University )
Short Bio
I am current work artificial intelligence for climate change in our local area. We trying to develop tools to reduce climate change
Contact
- Location: Mogadishu
- Email: dhicisoow61@gmail.com
Tony Liu (University of Toronto)
Short Bio
Engineering student specializing in Artificial Intelligence interested in helping solve problems at the intersection of ML and climate change. I am looking for any opportunity to learn and contribute to any project related to sustainable buildings and cities, ecosystem protection, and clean energy.
Interests/Experience
- Areas of Interest: Buildings and cities, Ecosystems and natural resources, Power and energy, Meta- and transfer learning, Natural language processing, Reinforcement learning and control
- Areas of Experience: Classification, regression, and supervised learning, Natural language processing, Reinforcement learning and control
Seeking/Offering
- Seeking: Data, Networking, Research collaborations, Startup co-founder
- Offering: Research collaborations, Startup co-founder
Contact
- Location: Toronto, Canada
- LinkedIn URL: https://www.linkedin.com/in/tony-liu-ab520a1b9/
- Circle URL: https://community.climatechange.ai/u/1478f9a1
Tse Uweja (University of Cambridge)
Short Bio
Engineering student with an interest in sustainability and sustainable development. Currently leading a team building an app to help people live more sustainably that combines data science, behavioural science and machine learning. Feel free to reach out to me if you're interested in any of those things. :)
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate and Earth science, Climate finance, Climate justice, Industry, Policy, Power and energy, Transportation
Seeking/Offering
- Seeking: Funding, Internships, Mentorship, Pro-bono consulting, Startup co-founder
- Offering: Research collaborations, Startup co-founder
Contact
- Location: London, UK
- Website: https://www.cascadeapp.co.uk/
- LinkedIn URL: https://www.linkedin.com/in/tsemaye-u-13847812b/
Stephen Haddad (Met Office)
Short Bio
I am Scientific Software Engineer at the Met Office, interested in applying machine learning to weather and climate science in an efficient and robust way.
Interests/Experience
- Areas of Interest: Climate and Earth science, Classification, regression, and supervised learning, Hybrid physical models, Unsupervised and semi-supervised learning
- Areas of Experience: Climate and Earth science, Classification, regression, and supervised learning
Contact
- Location: Exeter, UK
- Twitter URL: https://twitter.com/stevehadd
- LinkedIn URL: https://www.linkedin.com/in/stephen-haddad-499a865/
Guadalupe Ruiz
Short Bio
I believe in working hard to create the world I want to live in. I consider myself a physicist (#NerdPride), an activist and an artist-wannabe/art-enthusiast among other things. I work as a data scientist applied to ESG and I want to apply AI to impactful projects to tackle the climate emergency. Please ping me if you would like to collaborate.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate and Earth science, Climate justice, Ecosystems and natural resources, Power and energy, Classification, regression, and supervised learning, Computer vision and remote sensing, Natural language processing, Time-series analysis
- Areas of Experience: Climate and Earth science, Climate finance, Classification, regression, and supervised learning, Computer vision and remote sensing, Natural language processing, Time-series analysis
- Additional details: I have a PhD in computational and applied physics. Besides research and data science skills I have strong communication and data visualization skills and I thrive working in intersectional teams and connecting people.
Seeking/Offering
- Seeking: Data, Employment opportunities, Lacuna Fund Collaborations, Mentorship, Networking, Research collaborations
- Offering: Lacuna Fund Collaborations, Mentorship, Networking, Research collaborations
- Additional details: I want to develop projects that tackle climate change with data science. In particular I want to focus in computer vision and remote sensing.
Contact
- Location: Barcelona
- Email: guadaruiz@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/guadalupe-n-ruiz-ph-d-766ab31/?originalSubdomain=es
Ashwin Shirsat (North Carolina State University )
Short Bio
I am an electrical engineering Ph.D. student with the FREEDM systems center at North Carolina State University. My research focuses on data-driven optimal decision-making for energy management of grids with high renewable energy penetration and using deep learning for quantifying demand response potential and energy disaggregation.
Interests/Experience
- Areas of Interest: Power and energy, Active learning, Classification, regression, and supervised learning, Data mining, Interpretable ML, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness
- Areas of Experience: Power and energy, Active learning, Uncertainty quantification and robustness
Seeking/Offering
- Seeking: Employment opportunities, Networking, Research collaborations, Startup co-founder
- Offering: Mentorship, Networking, Pro-bono consulting
Contact
- Location: NC
- Email: mail@ashwinshirsat.com
- Website: https://ashwinshirsat.com/
- Twitter URL: https://twitter.com/ashwinshirsat94
- LinkedIn URL: https://www.linkedin.com/in/ashwin-s-86516773/
Sagar Garg
Short Bio
Applied Data Scientist with 5+years experiences in Startups, MNCs, Academia. Have worked on many climate science + AI projects, won international hackathons and collaborated with top researchers in India and Germany. Previously have helped scale some of India's top Internet Startups
Interests/Experience
- Areas of Interest: Agriculture, Buildings and cities, Carbon capture and sequestration, Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Industry, Policy, Power and energy, Transportation, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Hybrid physical models, Interpretable ML, Natural language processing, Recommender systems, Time-series analysis, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Agriculture, Carbon capture and sequestration, Climate and Earth science, Climate finance, Forestry and other land use, Industry, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Interpretable ML, Natural language processing, Time-series analysis, Uncertainty quantification and robustness
- Additional details: Have worked in various research roles in Climate+AI, including publications and presentations. Currently a Senior Data Scientist in Industry working on state-of-the-art machine learning models.
Seeking/Offering
- Seeking: Employment opportunities, Networking, Paid consulting, Pro-bono consulting, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Email: sagar.garg348@gmail.com
- Website: https://sagar-garg.github.io
- LinkedIn URL: https://www.linkedin.com/in/sagargarg348/
Harris Chalat (Muir AI)
Short Bio
Co-founder and CEO of Muir AI
Interests/Experience
- Areas of Interest: Climate and Earth science, Classification, regression, and supervised learning, Computer vision and remote sensing
- Areas of Experience: Computer vision and remote sensing
Seeking/Offering
- Offering: Employment opportunities
Contact
- Location: Seattle
- Website: https://www.muir.ai
- LinkedIn URL: https://www.linkedin.com/in/harrischalat/
Harshal Nandigramwar (University of Stuttgart)
Short Bio
Researcher in computer vision, Building tech startups, Interested in research/co-founding opportunities in Climate Tech.
Interests/Experience
- Areas of Interest: Buildings and cities, Carbon capture and sequestration, Climate and Earth science, Climate finance, Disaster prediction, management, and relief, Ecosystems and natural resources, Industry, Power and energy, Societal adaptation, Transportation, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Meta- and transfer learning, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Causal and Bayesian methods, Computer vision and remote sensing, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Additional details: I have good experience building software applications and algorithms besides the mentioned areas of interest.
Seeking/Offering
- Seeking: Networking, Mentorship, Internships, Research collaborations, Startup co-founder
- Additional details: I am looking for some research/startup opportunities in the intersection of AI and climate/society.
Contact
- Location: Stuttgart, Germany
- Email: pro.bbcom18@gmail.com
- Website: https://harshalnandigramwar.com
- Twitter URL: https://twitter.com/n__harshal
- LinkedIn URL: https://linkedin.com/in/bitbeast18
- Circle URL: https://community.climatechange.ai/u/3058f6cb?
Atakan Aral (University of Vienna)
Short Bio
Atakan Aral is a postdoctoral research fellow and principal investigator for the SWAIN project at the Scientific Computing research group, Faculty of Computer Science, University of Vienna. His research interests center around distributed AI architectures such as Edge Intelligence and IoT-based environmental monitoring systems.
Interests/Experience
- Areas of Interest: Buildings and cities, Disaster prediction, management, and relief, Ecosystems and natural resources, Industry, Power and energy, Transportation, Active learning, Causal and Bayesian methods, Generative modeling, Hybrid physical models, Meta- and transfer learning, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness
- Areas of Experience: Buildings and cities, Disaster prediction, management, and relief, Ecosystems and natural resources, Industry, Power and energy, Transportation, Active learning, Causal and Bayesian methods, Generative modeling, Hybrid physical models, Meta- and transfer learning, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness
Seeking/Offering
- Seeking: Academic positions, Data, Funding, Lacuna Fund Collaborations, Research collaborations
- Offering: Internships, Lacuna Fund Collaborations, Research collaborations
Contact
- Location: Vienna, Austria
- Email: atakan.aral@univie.ac.at
- Website: https://cs.univie.ac.at/Atakan.Aral
- Twitter URL: https://twitter.com/atary
- LinkedIn URL: https://www.linkedin.com/in/atakanaral/
- Circle URL: https://community.climatechange.ai/u/212b462d
Arunkumar L (Pegara Inc)
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate and Earth science, Climate justice, Power and energy, Transportation, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Interpretable ML, Meta- and transfer learning, Natural language processing, Recommender systems, Time-series analysis, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Internships
- Offering: Mentorship
Contact
- Location: India
- Email: arunk609@gmail.com
- Website: https://cleanpegasus.dev/
- Twitter URL: https://twitter.com/CleanPegasus
Anson Ho (University of St Andrews)
Short Bio
I'm a recent physics graduate at the University of St Andrews, interested in the relationship between AI, scientific research and effective altruism. This means trying to use AI to further scientific understanding (e.g. through interpretable ML) and technologies, while also keeping the ethical and safety issues of AI a priority. Within climate change, I'm interested in improving long-term forecasts, especially regarding extreme climate events.
Interests/Experience
- Areas of Interest: Climate and Earth science, Causal and Bayesian methods, Interpretable ML, Reinforcement learning and control, Uncertainty quantification and robustness
- Areas of Experience: Classification, regression, and supervised learning
Seeking/Offering
- Seeking: Mentorship, Networking
Contact
- Email: anson.ho.work@gmail.com
- Website: https://spectroscopycafe.github.io
- LinkedIn URL: https://www.linkedin.com/in/anson-ho-spectroscopy-cafe/
Alice Lépissier (Brown University)
Short Bio
Data scientist and computational social scientist with 10+ years of experience in global climate policy and international development. Deep domain expertise in sustainable investment, climate finance, carbon markets, and illicit finance demonstrated by peer-reviewed publications in top scientific journals. Skilled in bridging research and policy interface by combining quantitative research with pragmatic policy proposals, and experienced in high-level political advocacy (UN, NGOs). Specialty is communicating complex concepts in a clear and impactful way to different stakeholders (policy-makers, media, students).
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate finance, Policy, Classification, regression, and supervised learning
- Areas of Experience: Behavioral and social science, Climate finance, Policy
Seeking/Offering
- Seeking: Employment opportunities, Networking, Paid consulting
- Offering: Networking, Paid consulting
- Additional details: After my postdoc, I will be looking for industry roles where I can leverage my domain expertise in climate finance while staying at the cutting-edge of stats and AI. Functionally, I want a job where I am coding every day and where I can be a thought leader on using the private sector to accelerate the green transition.
Contact
- Location: Providence, RI
- Email: alice_lepissier@brown.edu
- Website: https://alicelepissier.com/
- Twitter URL: https://twitter.com/alicelepissier
- LinkedIn URL: https://www.linkedin.com/in/alicelepissier/
- Circle URL: https://community.climatechange.ai/u/a4107bb3?
Afsoon Soudi (Toronto Metropolitan University)
Short Bio
Dr. Soudi is an Assistant Professor of Media Analytics at The Creative School in Toronto Metropolitan University. Prior to her role at TMU, she led machine intelligence teams at CBC to develop audience analytics platform and recommendation systems for digital products. She has also co-founded an award winning software company which was acquired. Her current research is focused on the use of responsible AI in creative practices and study of the audience in the intersection of climate change, AI and media.
Contact
- Location: Toronto, Canada
- Email: afsoon.soudi@torontomu.ca
- LinkedIn URL: https://www.linkedin.com/in/afsoonsoudi/
Ian Foster (Argonne National Laboratory & University of Chicago)
Short Bio
Computer scientist who has worked on various aspects of climate models (e.g., parallel CCM), climate model data distribution (e.g., Earth System Grid), and applications of ML/AI methods to climate science.
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate and Earth science, Computer vision and remote sensing, Natural language processing, Unsupervised and semi-supervised learning
- Additional details: Unsupervised learning applied to remote sensing. Surrogate models for accelerated simulation.
Contact
- Location: Chicago
- Email: foster@anl.gov
- Twitter URL: https://twitter.com/ianfoster
Ayush Prasad (Finnish Meteorological Institute)
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate and Earth science, Computer vision and remote sensing, Hybrid physical models, Interpretable ML, Meta- and transfer learning
- Areas of Experience: Carbon capture and sequestration, Climate and Earth science, Hybrid physical models, Meta- and transfer learning
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Pro-bono consulting
Contact
- Location: Helsinki, Finland
- Email: ayush.prd@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/ayushprd/
Soumya Bhattacharyya
Short Bio
I am an US based IT professional working for more than 30 years in this field. However, from childhood, since I used to visit Kaziranga, a national park in eastern India with my Dad, I fell in love with wildlife and its conservation. I could not pursue it because of peer pressure and eventually the need for paying bills. But the desire to meaningfully contribute in this area has always been in the back of my mind. I occassionally check out blogs and YouTube videos by scientists working in this area and I came across a few of your lectures and sessions. I was hoping for a career change in this area. Hoping it would help I started pursuing a masters in AI and ML in my spare time recently. Would you have any position in your team/ sphere of influence for helping me make this transition? I am open to suggestions and discussions.
Interests/Experience
- Areas of Interest: Ecosystems and natural resources
- Areas of Experience: Industry
Seeking/Offering
- Seeking: Employment opportunities
Contact
- Email: soumyabhatta@gmail.com
Ahmad Mohassel (American Institutes for Research)
Short Bio
I am a senior data scientist and economist at American Institutes for Research. My interests are in the Societal Impact of Climate Change, and food insecurity, and enthusiastic about employing remote sensing data in my work.
Interests/Experience
- Areas of Interest: Agriculture, Policy, Societal adaptation, Causal and Bayesian methods, Classification, regression, and supervised learning, Hybrid physical models
- Areas of Experience: Behavioral and social science, Societal adaptation, Transportation, Causal and Bayesian methods
Seeking/Offering
- Seeking: Data, Research collaborations
- Offering: Research collaborations
Contact
- Location: Washington, D.C.
- Email: amohassel@air.org
- LinkedIn URL: https://www.linkedin.com/in/ahmad-mohassel/
Jinzhu Yu (University of Texas at Arlington)
Short Bio
Assistant professor working on enhancing the climate resilience of infrastructure systems and human communities | ASCE Weather and Climate Extremes Committee member.
Contact
- Location: USA
- Email: yujinzhu88@gmail.com
- Website: https://sites.google.com/view/jinzhuyu/
- LinkedIn URL: https://www.linkedin.com/in/jinzhuyu/
Yan Xia (Zhejiang Univerisity)
Contact
- Email: xy787933846@163.com
- Website: https://sites.google.com/view/yanxia
Tsilavo RAKOTO
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Disaster prediction, management, and relief, Forestry and other land use
Contact
- Location: Madagascar
- LinkedIn URL: https://www.linkedin.com/in/tsilavo-r-53b298254/
- Circle URL: https://community.climatechange.ai/u/74ece80c?
paolo nesi (university of florence)
Short Bio
working on mobility and transport and impact on environmental data. prediction and estimation of NO2, NOX, CO2, etc., on the basis of traffic, etc.
Interests/Experience
- Areas of Interest: Behavioral and social science, Transportation, Interpretable ML, Natural language processing, Time-series analysis
- Areas of Experience: Transportation, Interpretable ML, Time-series analysis
- Additional details: chair of https://www.snap4city.org platform and solution fully open source
Seeking/Offering
- Seeking: Research collaborations
- Offering: Data, Mentorship, Research collaborations
Contact
- Location: Firenze
- Email: paonesi@gmail.com
- Website: http://www.disit.dinfo.unifi.it/nesi
- Twitter URL: https://twitter.com/paolonesi
- LinkedIn URL: https://it.linkedin.com/pub/paolo-nesi/1/ba5/849
Avi Chudasama (Newtral.io)
Short Bio
Building Newtral.io, Comprehensive platform for companies to manage carbon footprint across value chain. Leveraging Machine Learning to enhance Scope 3 Data Collection
Interests/Experience
- Areas of Interest: Climate and Earth science, Industry
- Areas of Experience: Behavioral and social science, Societal adaptation
- Additional details: Experience building sequestration modelling, carbon accounting and ESG Reporting frameworks
Seeking/Offering
- Seeking: Networking
- Offering: Pro-bono consulting
- Additional details: Actively collaborating with researchers for Scope 3 GHG Accounting use-cases
Contact
- Location: Bengaluru, India
- Email: avi@newtral.io
- Website: https://newtral.io/
- LinkedIn URL: https://www.linkedin.com/in/chudasamaavi/
- Circle URL: https://community.climatechange.ai/u/fdbc45d4
Siman Ning
Short Bio
I am a phd student in urban design and planning. I am interested in how AI and climate change could reshape future urban development.
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate finance
- Areas of Experience: Buildings and cities
Seeking/Offering
- Seeking: Mentorship
- Offering: Pro-bono consulting
Contact
- Location: Washington
- Email: tatasky@uw.edu
Rodrigo Almeida (ex-Jua, DevelopmentSeed, UP42, Planet)
Short Bio
I am a Geo-Information, AI and Cloud Engineer, currently exploring PhD opportunities in the Climate and AI space.
Interests/Experience
- Areas of Interest: Buildings and cities, Climate and Earth science, Disaster prediction, management, and relief
- Areas of Experience: Agriculture, Computer vision and remote sensing, Data mining
- Additional details: Large scale (PBs) data handling. Data pipelines for earth and weather data.
Seeking/Offering
- Seeking: Mentorship, Employment opportunities, Academic positions
- Offering: Networking, Mentorship
Contact
- Location: Berlin
- Email: rodrigo.almeida94@outlook.pt
- Website: https://rodrigoalmeida.pt
- LinkedIn URL: https://www.linkedin.com/in/rodrigomalmeida/
Matias Quintana (Singapore-ETH Centre (SEC))
Short Bio
Postdoctoral Researcher in SEC and affiliated with the National University of Singapore (NUS). Currently working on urban-scale problems with different data streams.
Interests/Experience
- Areas of Interest: Power and energy, Transportation, Computer vision and remote sensing, Recommender systems, Reinforcement learning and control, Time-series analysis
- Areas of Experience: Buildings and cities, Active learning, Classification, regression, and supervised learning
Seeking/Offering
- Seeking: Research collaborations
- Offering: Data, Mentorship, Networking
Contact
- Location: Singapore
- Email: matias.quintana@sec.ethz.ch
- Website: https://matiasquintana.com/
- Twitter URL: https://twitter.com/_matqr
- LinkedIn URL: https://www.linkedin.com/in/matiasqr
Ken Briggs (Source 2050)
Short Bio
With 11 years of experience in engineering, management, and consulting, I am a marketing and engineering professional who can effectively manage projects from concept to completion, maximize profitability, and contribute to the global energy transition. I have a Master of Science in Mechanical Engineering and a Professional Engineer license, as well as multiple certifications in marketing and social media. I was the Chief Marketing Officer at Decentralized Web Technologies, a San Antonio-based technology company that develops smart devices for energy system diagnostics. I led a team of marketing professionals to build a comprehensive online presence across multiple channels, generated sales leads, created industry partnerships, and devised a business strategy. I also contributed to product engineering and client consultation. I am passionate about history, current events, and foreign policy, and am pursuing a Master's degree in International Relations at Harvard Extension School. I hope to leverage my STEM and humanities background to make the greatest possible impact on energy policy and technology issues professionally and as a global citizen.
Interests/Experience
- Areas of Interest: Buildings and cities, Policy, Power and energy
- Areas of Experience: Buildings and cities, Policy, Power and energy
- Additional details: Climate technology Marketing Business Development Business Operations Startups
Seeking/Offering
- Seeking: Paid consulting
- Additional details: Engineering consultant providing technical expertise and support for marketing and business operations for companies working on energy-efficient technologies
Contact
- Location: Parkland, Florida
- Email: kwbriggs610@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/kenbriggs3/
Adolfo Perez-Duran (Orange Monk Labs)
Interests/Experience
- Areas of Interest: Climate and Earth science, Classification, regression, and supervised learning
- Areas of Experience: Causal and Bayesian methods, Classification, regression, and supervised learning
Contact
- Location: Boulder CO
- Email: adolfo@orangemonk.net
- LinkedIn URL: https://www.linkedin.com/in/aperezduran/
Veronica Nieves (University of Valencia)
Short Bio
Climate Scientist | Distinguished Researcher | AI4OCEANS Group Leader at University of Valencia | Main research in Physical Oceanography and Global Climate Change via Artificial Intelligence
Interests/Experience
- Areas of Interest: Climate and Earth science, Classification, regression, and supervised learning, Data mining, Unsupervised and semi-supervised learning
Contact
- Location: Spain
- Email: Veronica.Nieves@uv.es
- Website: https://www.aiforoceans.org
- Twitter URL: https://twitter.com/vero_u_nieves
Akram Zaytar (Microsoft AI for Good)
Short Bio
I'm a tinkerer who (sometimes) gets obsessively interested in certain topics. During the day, I work with pixels and polygons to solve geospatial AI problems with a focus on concrete impact. In my spare time, you might find me learning from others, building PoCs, and sharing my discoveries.
Interests/Experience
- Areas of Interest: Agriculture, Climate and Earth science, Disaster prediction, management, and relief, Industry, Active learning, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Interpretable ML, Time-series analysis
- Areas of Experience: Agriculture, Climate and Earth science, Disaster prediction, management, and relief, Active learning, Classification, regression, and supervised learning, Interpretable ML
- Additional details: I'm a Senior Research Scientist at the Microsoft AI for Good Lab specializing in leveraging satellite imagery and advanced computer vision techniques to address environmental challenges. I did my postdoc at IBM Research working on weather forecast postprocessing and geospatial ML tooling. I am deeply invested in exploring the frontiers of deep neural networks, foundation models, and advancing the field of self and weakly-supervised learning.
Seeking/Offering
- Seeking: Employment opportunities, Networking, Research collaborations
- Offering: Mentorship, Networking, Research collaborations
Contact
- Email: zaytarakram@gmail.com
- Website: https://github.com/Akramz
- LinkedIn URL: https://www.linkedin.com/in/akramz/
Peter Dolan (Waymo)
Short Bio
I'm a research engineer with broad interests, formerly at DeepMind working on climate change projects including wind power and energy efficiency.
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate and Earth science, Climate justice, Disaster prediction, management, and relief
- Areas of Experience: Buildings and cities, Climate and Earth science
Seeking/Offering
- Seeking: Employment opportunities, Networking, Paid consulting, Pro-bono consulting, Research collaborations, Startup co-founder
- Offering: Employment opportunities, Mentorship, Networking, Research collaborations
Contact
- Website: http://www.peterdolan.us/
- LinkedIn URL: https://www.linkedin.com/in/peterjdolan/
Olivia Grah
Short Bio
ESG professional in alternative asset management. Focus on investment portfolio carbon accounting
Seeking/Offering
- Seeking: Data, Mentorship, Networking, Paid consulting
- Offering: Employment opportunities, Networking
Contact
- Location: New York
- LinkedIn URL: https://www.linkedin.com/in/oliviagrah/
Zachary Labe (Princeton University & NOAA GFDL)
Short Bio
I am a postdoctoral researcher working at NOAA Geophysical Fluid Dynamics Laboratory and the Atmospheric and Oceanic Sciences Program at Princeton University. Broadly, I am interested in a signal-to-noise problem. The signal is climate change. The noise is weather. My research intends to disentangle the two components within large ensembles of climate models.
Interests/Experience
- Areas of Interest: Climate and Earth science, Classification, regression, and supervised learning, Interpretable ML, Time-series analysis, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Climate and Earth science, Interpretable ML
- Additional details: Interested in using novel data science methods to extract climate change signals in large ensemble simulations
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Networking, Research collaborations
- Offering: Data, Mentorship, Networking, Research collaborations
Contact
- Location: Princeton, NJ
- Website: https://zacklabe.com/
- Twitter URL: https://twitter.com/ZLabe
- LinkedIn URL: https://www.linkedin.com/in/zacharylabe/
- Circle URL: https://community.climatechange.ai/u/d0b97ee3
Peter Van Katwyk (Brown University)
Short Bio
I am a PhD student at Brown University studying climate emulation of ice sheets. In particular, I am interested in using NN-based models to emulate the relationship between AIS melt and Sea Level Rise.
Interests/Experience
- Areas of Interest: Climate and Earth science, Causal and Bayesian methods, Generative modeling, Uncertainty quantification and robustness
Contact
- Location: Providence, RI
- Email: peter_van_katwyk@brown.edu
- LinkedIn URL: https://linkedin.com/in/pvankatwyk
Ananiya Abebe (Samrawit)
Short Bio
Am Ananiya Abebe. I graduate in mechanical engineering. And experience in HVAC system for 2 years.
Interests/Experience
- Areas of Interest: Agriculture, Buildings and cities, Industry, Transportation, Computer vision and remote sensing
- Areas of Experience: Agriculture, Buildings and cities, Industry, Transportation
- Additional details: Wood production
Seeking/Offering
- Seeking: Networking
- Offering: Networking
Contact
- Location: Addis Ababa
- Email: ananiyaabebe24@gmail.com
Ashish Papanai (Wadhwani AI)
Short Bio
Hi I am Ashish Papanai, I am an Associate ML Scientist @ Wadhwani AI. I am currently working on AI for Agriculture and Social Good. I previously worked as a UG-SRF @ IIT Delhi on Low-Level Vision, Explainable AI for Medical Images, and Optimised Computer Vision for Edge Devices. My research interest includes Computer Vision, Medical Image Analysis, and Low-Level Vision. I want to collaborate on research projects on Computer Vision for social good. [email: ashishpapanai00@gmail.com]
Interests/Experience
- Areas of Interest: Agriculture, Computer vision and remote sensing, Hybrid physical models, Interpretable ML, Meta- and transfer learning
- Areas of Experience: Agriculture, Classification, regression, and supervised learning, Computer vision and remote sensing
Seeking/Offering
- Seeking: Academic positions, Networking, Research collaborations
- Offering: Pro-bono consulting, Research collaborations
Contact
- Location: Delhi, India
- Email: ashishp@wadhwaniai.org
- Website: https://ashishpapanai.github.io/
- LinkedIn URL: https://www.linkedin.com/in/ashishpapanai/
Amirreza Pourfatollah (Politecnico di Torino)
Interests/Experience
- Areas of Interest: Disaster prediction, management, and relief, Unsupervised and semi-supervised learning
- Areas of Experience: Data mining
- Additional details: I am a PhD student at Polito, and I am working on climate change and landslides. To do so, I would use machine learning to predict the occurrence of the landslides.
Seeking/Offering
- Seeking: Networking, Data, Internships, Research collaborations
- Offering: Data, Research collaborations
Contact
- Location: Italy
- Email: Amirreza.pourfatollah@polito.it
Hillary Scannell (Columbia University)
Short Bio
Postdoctoral Research Scientist in the Climate Data Science Lab at the Lamont-Doherty Earth Observatory
Interests/Experience
- Areas of Interest: Climate and Earth science, Disaster prediction, management, and relief, Computer vision and remote sensing, Interpretable ML
Seeking/Offering
- Seeking: Networking, Mentorship, Research collaborations
- Offering: Networking, Mentorship, Research collaborations
Contact
- Location: New York, NY
- Website: https://www.hillaryscannell.com/
- Twitter URL: https://twitter.com/HillaryScannell
- LinkedIn URL: https://www.linkedin.com/in/hillary-scannell/
Nathan Lambert (UC Berkeley)
Short Bio
Nathan Lambert is a PhD Candidate at the University of California, Berkeley working at the intersection of machine learning and robotics. He is a member of the Department of Electrical Engineering and Computer Sciences, advised by Professor Kristofer Pister in the Berkeley Autonomous Microsystems Lab. Nathan has worked extensively with Roberto Calandra at Facebook AI Research and is joining DeepMind Robotics remotely for the summer of 2021. During his Ph.D., he was awarded the UC Berkeley EECS Demetri Angelakos Memorial Achievement Award for Altruism.
Interests/Experience
- Areas of Interest: Climate and Earth science, Power and energy, Reinforcement learning and control
- Areas of Experience: Reinforcement learning and control
Seeking/Offering
- Seeking: Research collaborations
- Offering: Pro-bono consulting
Contact
- Website: https://www.natolambert.com
- Twitter URL: https://twitter.com/natolambert
- LinkedIn URL: https://www.linkedin.com/in/natolambert/
Vivek Ramavajjala (DeepMind)
Short Bio
I'm a Research Engineering Lead at DeepMind, working on applied research projects, and deploying ML in the real world.
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate and Earth science, Climate justice, Disaster prediction, management, and relief, Policy
- Areas of Experience: Classification, regression, and supervised learning, Data mining, Reinforcement learning and control, Time-series analysis
Seeking/Offering
- Seeking: Mentorship, Networking, Research collaborations
Contact
- Email: vivekr101@gmail.com
Jorge Montalvo Arvizu (University of Liège)
Short Bio
Energy engineer focusing on machine learning applications for power systems to help achieve a world powered 100% by clean energy and fight the climate change crisis.
Interests/Experience
- Areas of Interest: Power and energy, Causal and Bayesian methods, Hybrid physical models, Interpretable ML, Reinforcement learning and control, Uncertainty quantification and robustness
- Areas of Experience: Policy, Power and energy, Causal and Bayesian methods, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness
Seeking/Offering
- Seeking: Internships, Mentorship, Networking, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Location: Liège, Belgium
- Email: jorge_ma94@hotmail.com
- Website: https://jmontalvo94.github.io
- Twitter URL: https://twitter.com/jmontalvo94
- LinkedIn URL: https://linkedin.com/jmontalvo94
- Circle URL: https://community.climatechange.ai/u/029f046d
tom abeles (sagancity, inc (US))
Short Bio
Retired faculty in renewable resources (biomass, energy, alternative agriculture/aquaculture both theory and practice as well as policy work
Interests/Experience
- Areas of Interest: Agriculture, Generative modeling
- Areas of Experience: Agriculture, Ecosystems and natural resources, Policy
- Additional details: retired faculty in renewable resources and sustainability experience in Rwanda, Kenya and East Africa also, central america US based
Seeking/Offering
- Seeking: Pro-bono consulting
- Offering: Networking, Research collaborations
Contact
- Location: United States
- Email: tabeles@gmail.com
Hardik Malik (Faculty of Law, University of Delhi)
Short Bio
Research Scholar working on statutory frameworks on Carbon Trading (Emission Trading System)
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate finance, Climate justice, Policy, Power and energy
- Areas of Experience: Climate finance, Climate justice, Policy, Power and energy
Seeking/Offering
- Seeking: Academic positions, Funding, Networking, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Location: Delhi, India
- Email: hrdmalik@gmail.com
- Twitter URL: https://x.com/hardikmalikin?t=ezdg-au9IAsycb6VUoj-vA&s=09
- LinkedIn URL: https://www.linkedin.com/in/hardik-malik-2a413717b?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app
Kara Moraw (EPCC)
Short Bio
Applications Consultant for Data Science and ML projects at EPCC.
Interests/Experience
- Areas of Interest: Agriculture, Buildings and cities, Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Power and energy, Transportation, Generative modeling, Hybrid physical models, Interpretable ML, Reinforcement learning and control, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Classification, regression, and supervised learning, Generative modeling, Natural language processing, Reinforcement learning and control, Unsupervised and semi-supervised learning
Contact
- Location: Edinburgh, UK
- Email: k.moraw@epcc.ed.ac.uk
- LinkedIn URL: https://www.linkedin.com/in/kara-moraw/
- Circle URL: https://community.climatechange.ai/u/18fd706d
Matteo Turchetta (ETH Zurich)
Short Bio
After completing my Ph.D. in safety-constrained reinforcement learning, I got passionate about the sustainability and reliability of modern food systems. In my research, I apply supervised learning techniques to model the complex GxExM (genetics, environment, management) interactions that determine the environmental and nutritional outputs of agricultural systems. Moreover, I use reinforcement learning and Bayesian optimization algorithms to make data-driven decisions to optimize the productivity while minimizing the impact of such systems.
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Active learning, Interpretable ML, Meta- and transfer learning, Reinforcement learning and control
- Areas of Experience: Active learning, Reinforcement learning and control
Seeking/Offering
- Seeking: Funding, Networking, Research collaborations, Startup co-founder
- Offering: Networking, Research collaborations, Startup co-founder
Contact
- Location: CH-ZH
- Website: https://las.inf.ethz.ch/people/matteo-turchetta
- LinkedIn URL: https://www.linkedin.com/in/matteo-turchetta/
IMED-EDDINE HAOULI (Badji Mokhtar Annaba University )
Short Bio
As a PhD student specializing in AI with a focus on medical image analysis, climate change and finance, I am proficient in Python, Java, TensorFlow, Unix command line, and bash scripting. I am also an ambassador of OneAPI at Intel, well‑versed in OneAPI and OpenVINO toolkits. I thrive on tackling complex projects and am eager to take on new challenges.
Interests/Experience
- Areas of Interest: Climate and Earth science, Power and energy, Classification, regression, and supervised learning, Computer vision and remote sensing
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing, Interpretable ML
Seeking/Offering
- Seeking: Data, Internships, Paid consulting
- Offering: Research collaborations
Contact
- Location: Annaba, Algeria
- Email: haouli-imededdine@hotmail.com
- Website: https://www.datascienceportfol.io/ImedHa
- LinkedIn URL: https://www.linkedin.com/in/imed-eddine-haouli/
Olga Mierzwa-Sulima
Short Bio
Data Scientist and Data4Good Lead at Appsilon. Supporting organizations and researchers tackling climate change by offering our service (data science, dashboards, and ML Vision) pro-bono.
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate and Earth science, Power and energy
- Areas of Experience: Computer vision and remote sensing
Seeking/Offering
- Seeking: Mentorship, Networking, Research collaborations
- Offering: Paid consulting, Pro-bono consulting
Contact
- Email: olga@appsilon.com
- Website: https://appsilon.com/data-for-good/
- Twitter URL: https://twitter.com/olga_mie
- LinkedIn URL: https://www.linkedin.com/in/olga-mierzwa-sulima-84843539/
Ukachukwu Macpherson Ifeanyi (Global Environmental and Climate Conservation Initiative (GECCI))
Short Bio
Ukachukwu Macpherson Ifeanyi is a licensed Medical Laboratory Scientist. Macpherson has 4 years of experience in Clinical Laboratory testing. In 2020, Macpherson received a recognition in the joint award as the intern Histopathologist of the year at the Federal Medical Centre, Abeokuta, Ogun State, Nigeria. He is a member of Medical Laboratory Science Council of Nigeria(MLSCN). He is also a bona fide member of the Association of Medical Laboratory Scientists of Nigeria(AMLSN) He is seasoned and proficient in EMR systems operations, Microsoft office, social media content consulting. In 2021, Macpherson championed a project on Local Government Good Governance Monitor(LGGM) in Ikwo Local Government Area of Ebonyi State where he was saddled with the responsibility of advancing efficient and inclusive delivery of Primary Public health and education. A project carried out in the South Eastern states of Nigeria and organized by the Centre for Social Awareness, Advocacy and Ethics (CSAAE). Ukachukwu Macpherson Ifeanyi has made a lot of contributions in climate change arena ranging from Advocacy Campaign, public enlightenment and awareness, to mention but a few, in the just concluded Nigeria youth post COP26 conference for South East, held in Ebonyi State. The attached are my selected newspaper publications since, 2022. https://cccd.funai.edu.ng/cccd-aefunai-pledges-partnership-with-youth-initiatives-on-climate-education-for-5-years/ https://www.environewsnigeria.com/ekwueme-varsity-centre-to-partner-youths-on-climate-education/. Ukachukwu Macpherson Ifeanyi is presently the Ebonyi State Vice President of the Global Environmental and Climate Conservation Initiative (GECCI)- a reputable NGO(Non Governmental Organization) and Non-profit organization based in Nigeria with other branches across the globe. With about two years of working experience in this great Organization, my roles are as follows: Working with other executive colleagues and departmental managers to implement plans and policies throughout the organisation. Working with a team of assistants to monitor and fast track progress toward goals and measure analytics. Nominate departmental managers and executive staff and advise about other high-level hiring decisions. Represent the organisation at conferences, meetings, trade fares at regional or national levels. Macpherson is a climate resilience specialist at Global Environmental and Climate Conservation Initiative (GECCI) where he supports the integration of climate change into all projects. He has extensive experience with developing and implementing climate strategies in Nigeria as a country and Africa as a continent.
Interests/Experience
- Additional details: N/A
Seeking/Offering
- Seeking: Academic positions, Data, Employment opportunities, Funding, Internships, Lacuna Fund Collaborations, Mentorship, Networking, Paid consulting, Pro-bono consulting, Research collaborations, Startup co-founder
- Offering: Paid consulting
- Additional details: N/A
Contact
- Location: Nigeria
- Email: Macphersonuka@gmail.com
- Website: https://.globalecci.com/
- Twitter URL: https://twitter.com/macphersonukac1?t=5j3uD00RPBOceFAX4wSL7g&s=09
- LinkedIn URL: https://twitter.com/macphersonukac1?t=5j3uD00RPBOceFAX4wSL7g&s=09
- Circle URL: https://cccd.funai.edu.ng/cccd-aefunai-pledges-partnership-with-youth-initiatives-on-climate-education-for-5-years/
Dickson Lukose (Monash University)
Short Bio
I have over 25 years of experience in Applied AI working with technologies like Machine Learning, Deep Learning, Semantic Web, Knowledge Graphs, Social Network Analytics, and Natural Language Processing.
Interests/Experience
- Areas of Interest: Active learning, Classification, regression, and supervised learning, Data mining, Natural language processing, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Agriculture, Behavioral and social science
- Additional details: I also have extensive experience in Semantic Web, Knowledge Graphs and Ontology Modelling and Engineering.
Seeking/Offering
- Seeking: Research collaborations
- Offering: Academic positions
Contact
- Location: Melbourne
- Email: dickson.lukose@gmail.com
- Twitter URL: https://twitter.com/dlukose
- LinkedIn URL: https://www.linkedin.com/in/dicksonlukose/
Thomas Soumarmon (Continental / DEEL.ai)
Short Bio
Data Scientist willing to use my skills to tackle climate change. Currently on sabbatical year to find the best way to do it.
Interests/Experience
- Areas of Interest: Climate and Earth science, Climate justice, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Causal and Bayesian methods, Computer vision and remote sensing, Generative modeling, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Transportation, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Additional details: Industrial experience on deep learning, CV, SSL Research experience on OOD, generative models, bayesian "Kaggle" experience on remote sensing
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Funding, Mentorship, Networking, Research collaborations, Startup co-founder
- Offering: Mentorship, Networking, Paid consulting, Pro-bono consulting, Research collaborations, Startup co-founder
Contact
- Email: thomas.soumarmon@cogitae.net
- LinkedIn URL: https://www.linkedin.com/in/thomas-soumarmon
Leonardo Sampieri (-)
Interests/Experience
- Areas of Interest: Buildings and cities, Disaster prediction, management, and relief, Societal adaptation
Contact
- Location: Argentina
- Email: leonardo@sampieri.com.ar
- Twitter URL: https://twitter.com/leo_sampieri
- LinkedIn URL: https://www.linkedin.com/in/leonardosampieri/
Miguel (University of Edinburgh)
Interests/Experience
- Areas of Interest: Computer vision and remote sensing, Unsupervised and semi-supervised learning
- Areas of Experience: Computer vision and remote sensing, Unsupervised and semi-supervised learning
- Additional details: Intersection of Computer Vision and Earth Observation. Interested in self-supervised models capable of learning semantically rich representations of satellite images.
Seeking/Offering
- Seeking: Networking, Research collaborations
Contact
- Location: Edinburgh
- Email: miguel.espinosa@ed.ac.uk
- Website: https://blogs.ed.ac.uk/miguel-espinosa/
- LinkedIn URL: https://www.linkedin.com/in/miguel-espinosa-7a1a34179/
Anil Sawhney (RICS)
Interests/Experience
- Areas of Interest: Generative modeling
- Areas of Experience: Buildings and cities
Contact
- Location: New York
- Email: asawhney@rics.org
- Twitter URL: https://twitter.com/ProfSawhney
- LinkedIn URL: https://www.linkedin.com/in/anilsawhney/
Daniel Martinez (Universidad Autonoma de Occidente)
Short Bio
Diego Martinez PhD and Master’s in Automatics and Industrial Informatics (Universidad Politécnica de Valencia); Master’s in Automatics, a specialist in Communication Networks, and an electronic engineer. He is currently a professor and researcher at UAO. His research interests include control and automation, embedded systems, industrial informatics, hardware and software design for digital signal processing, and systems supervision and control. Leaders in Prevention Award - Colmena Seguros (2018) in the Research category for the work: “Support system for estimating the risk of developing repetitive strain wrist injuries through a portable WBAN in upper limb”. In 2019, he received an invention patent for the project “System for musical interpretation and monitoring of physical condition for rehabilitation tasks in torso and upper limbs”, conducted along with other professors of UAO. Training: Electronic Engineering Level of education: Doctorate MinCiencias Category: Junior Researcher Knowledge Area: Electrical, Electronic and Computer Engineering Research interests: • Embedded systems • Digital signal processing • Wireless sensor networks • Control and automation
Interests/Experience
- Areas of Interest: Climate and Earth science, Classification, regression, and supervised learning, Computer vision and remote sensing
- Areas of Experience: Computer vision and remote sensing, Generative modeling, Interpretable ML
- Additional details: Training: Electronic Engineering Level of education: Doctorate MinCiencias Category: Junior Researcher Knowledge Area: Electrical, Electronic and Computer Engineering Research interests: • Embedded systems • Digital signal processing • Wireless sensor networks • Control and automation
Seeking/Offering
- Seeking: Research collaborations
Contact
- Location: Cali, Colombia
- Email: dmartinez@uao.edu.co
Viktor Todosijevic (RWTH Aachen University)
Short Bio
ML Engineer interested in ML for Power Grids :)
Interests/Experience
- Areas of Interest: Power and energy
- Areas of Experience: Classification, regression, and supervised learning
Seeking/Offering
- Seeking: Internships
Contact
- Location: Germany
- Email: todosijevicviktor998@gmail.com
- Website: https://github.com/viktor-ktorvi
- LinkedIn URL: https://www.linkedin.com/in/viktor-todosijevic-0135b216b/
Duncan Watson-Parris (University of Oxford)
Interests/Experience
- Areas of Interest: Climate and Earth science, Causal and Bayesian methods, Hybrid physical models
- Areas of Experience: Climate and Earth science
Seeking/Offering
- Seeking: Academic positions, Research collaborations
- Offering: Research collaborations
Contact
- Email: duncan.watson-parris@physics.ox.ac.uk
- Website: https://duncanwp.github.io/
- Twitter URL: https://twitter.com/DWatsonParris
- Circle URL: https://community.climatechange.ai/u/1952d029
Priya Donti (Carnegie Mellon University)
Short Bio
I'm a Ph.D. student in Computer Science & Public Policy at Carnegie Mellon University, and co-founder and chair of Climate Change AI. My work focuses on machine learning for forecasting, optimization, and control in high-renewables power grids, with a specific focus on incorporating relevant physics and hard constraints into deep learning models.
Interests/Experience
- Areas of Interest: Hybrid physical models, Reinforcement learning and control, Uncertainty quantification and robustness, Computer vision and remote sensing, Buildings and cities, Climate justice, Power and energy, Transportation, Industry, Policy
- Areas of Experience: Hybrid physical models, Reinforcement learning and control, Power and energy, Policy
- Additional details: I'm also interested in ways to better foster the deployment and scaling of useful climate-relevant work.
Seeking/Offering
- Seeking: Research collaborations
- Offering: Networking, Mentorship, Research collaborations
Contact
- Website: https://priyadonti.com/
- Twitter URL: https://twitter.com/priyald17
- LinkedIn URL: https://www.linkedin.com/in/priya-donti/
- Circle URL: https://community.climatechange.ai/u/4d231991
Kiana Alikhademi (PhD student at the University of Florida)
Interests/Experience
- Areas of Interest: Climate justice, Policy, Transportation, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Interpretable ML
- Areas of Experience: Societal adaptation, Transportation, Causal and Bayesian methods, Classification, regression, and supervised learning, Data mining, Interpretable ML
Seeking/Offering
- Seeking: Employment opportunities, Funding, Mentorship, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Email: kalikhademi@ufl.edu
- Website: https://www.kianai.com
- Twitter URL: https://twitter.com/Kianaiiiii
- LinkedIn URL: https://www.linkedin.com/in/kianai/
John Musau (Machakos University)
Short Bio
Dr. John Musau holds Ph.D. in Environmental Science from Bangor University, UK, 2021, a MSc. in Environmental Engineering and Management from Jomo Kenyatta University of Agriculture & Technology, Kenya, 2015, and Bachelor of Environmental Planning and Management from Kenyatta University, 2011. Dr Musau has published research articles in high-impact factor journals. His research interests include environmental system modelling, artificial intelligence, geographic information systems, remote sensing, and sustainable water resource management. He is a Lecturer at the Department of Environmental Sciences in Machakos University, Kenya.
Interests/Experience
- Areas of Interest: Agriculture, Climate and Earth science, Ecosystems and natural resources, Forestry and other land use, Time-series analysis, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Agriculture, Climate and Earth science, Time-series analysis
Seeking/Offering
- Seeking: Academic positions, Lacuna Fund Collaborations, Pro-bono consulting
Contact
- Location: Machakos, Kenya
- Email: johnkuyega@gmail.com
Tobias Lanzky
Interests/Experience
- Areas of Interest: Behavioral and social science, Carbon capture and sequestration, Ecosystems and natural resources, Human-computer Interaction, Interpretable ML
- Areas of Experience: Climate finance, Climate justice, Industry, Policy, Societal adaptation
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Networking
- Offering: Networking, Paid consulting, Pro-bono consulting
Contact
- Location: Denmark
- Email: lanzky@mail.com
- LinkedIn URL: https://www.linkedin.com/in/tobias-lanzky-48569661/
Thomas Loughlin (Engineers for a Sustainable World)
Short Bio
Association/non-profit leader focusing on climate, sustainability and a regenerative economy.
Interests/Experience
- Areas of Interest: Buildings and cities, Power and energy, Societal adaptation
- Areas of Experience: Buildings and cities, Power and energy
- Additional details: Engineering & workforce development
Seeking/Offering
- Seeking: Networking, Pro-bono consulting
- Offering: Networking, Startup co-founder
- Additional details: Seeking collaborations with Engineers for a Sustainable World...our members are on the launchpad of their engineering study with a focus on sustainability.
Contact
- Location: New Jersey
- Email: tloughlin@eswusa.org
- Website: http://eswglobal.org
- Twitter URL: http://twitter.com/tgloughlin
- LinkedIn URL: http://linkedin.com/in/tgloughlin
- Circle URL: https://community.climatechange.ai/u/6de1ef80
Clay Rosenthal
Short Bio
Software engineer working in AI robotics, looking to learn new skills and move towards climate tech and climate AI.
Interests/Experience
- Areas of Interest: Buildings and cities, Climate justice, Power and energy, Human-computer Interaction, Reinforcement learning and control
- Areas of Experience: Reinforcement learning and control
- Additional details: Passionate about the climate, with issues I really enjoy being green urbanism, green energy, and green buildings. Experienced with helping train models and setup compute clusters, learning more about the intersection of climate and AI
Seeking/Offering
- Seeking: Networking, Employment opportunities
- Offering: Networking
- Additional details: Looking to move into more directly climate related AI from AI robotics.
Contact
- Location: San Francisco, CA, USA
- LinkedIn URL: https://linkedin.com/in/clay-rosenthal
- Circle URL: https://community.climatechange.ai/u/b871310c
Dalia Eissa (Damietta University, Egypt)
Short Bio
I am currently on the verge of graduation from Damietta University, Egypt. I am studying in the translation department, specializing in translation from English and German to Arabic. I excel in my studies and have a deep passion for languages. I enjoy learning about the world and its diverse cultures in all aspects of life. However, language, to me, is a means of communication with the world. I am currently exploring new fields to be passionate about and excel in, seeking to acquire new skills and expertise. Being acutely aware of the importance of AI in the modern world and passionate about learning and reading about it, I have chosen to study one of its domains and strive for professionalism.
Contact
- Location: Egypt
- Email: eissad93@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/dalia-eissa-614b6b2b7
Arvind Kumar
Short Bio
I am a young professional working at the intersection of sustainable development and public policy. My multidisciplinary academic background has equipped me with a holistic understanding of the interplay between sustainable development and policymaking. My professional experiences have sharpened my analytical capabilities and strategy implementation skills. Furthermore, my proven leadership and project management skills have equipped me with the ability to drive impactful change. I have also been a fervent voice for youth participation in global initiatives, having authored articles and represented India internationally. My journey reflects my personal and professional commitment to working towards a sustainable and equitable future.
Interests/Experience
- Areas of Interest: Climate finance, Climate justice, Disaster prediction, management, and relief, Industry, Policy, Power and energy, Societal adaptation, Transportation
- Areas of Experience: Behavioral and social science, Policy, Societal adaptation
Seeking/Offering
- Seeking: Employment opportunities, Internships, Networking, Paid consulting, Pro-bono consulting, Research collaborations
- Offering: Mentorship, Networking, Paid consulting, Pro-bono consulting, Research collaborations
Contact
- Location: India
- LinkedIn URL: https://www.linkedin.com/in/arvind-kumar-iitm/
Bobin Wang (Laval University)
Short Bio
I am an assistant professor in the Department of Mechanical Engineering at Université Laval. My major is Transportation Engineering, my research focuses on Transportation and Climate Change, the interaction of AI and Decision-Making Theories, Mobility as a Service (MaaS), Transportation Network Analysis, and Econometric and Statistical Modelling. I have wealthy working and research experience in China, Europe, and North America, and have published more than 40 papers and 2 monographs in authority journals in Transportation. As an emerging researcher, my future research will focus on climate change, smart cities, and intelligent transportation systems using AI techniques. My current projects all focus on solving climate change issues caused by transportation. If you are interested, please feel free to contact me at bobin.wang@gmc.ulaval.ca. Hope to have a chance to collaborate with you in the future!
Interests/Experience
- Areas of Interest: Behavioral and social science, Buildings and cities, Climate finance, Policy, Transportation, Causal and Bayesian methods, Classification, regression, and supervised learning, Interpretable ML, Time-series analysis
- Areas of Experience: Behavioral and social science, Buildings and cities, Climate finance, Policy, Transportation, Causal and Bayesian methods, Classification, regression, and supervised learning, Interpretable ML, Time-series analysis
- Additional details: Transportation Engineering
Seeking/Offering
- Seeking: Funding, Research collaborations, Startup co-founder
- Offering: Employment opportunities, Internships
- Additional details: Recruiting MSc and Ph.D. students
Contact
- Location: Canada
- Email: bobin.wang@gmc.ulaval.ca
- Website: https://www.fsg.ulaval.ca/departements/professeurs/bobin-wang-1008
- LinkedIn URL: https://www.linkedin.com/in/bobin-wang-47651b9b/
Ofir Levy (School of Zoology, Faculty of Life Sciences, Tel Aviv University)
Interests/Experience
- Areas of Interest: Buildings and cities, Climate and Earth science, Ecosystems and natural resources, Forestry and other land use
- Areas of Experience: Climate and Earth science, Ecosystems and natural resources
- Additional details: Head of the Biophysical Ecology lab, studying the impacts of climate on ecological systems and forecasting possible effects of climate change using Artificial Intelligence, Individual-based simulations, and empirical observations.
Seeking/Offering
- Seeking: Research collaborations
- Offering: Data, Employment opportunities, Internships, Mentorship, Research collaborations
Contact
- Location: Tel Aviv, Israel
- Email: levyofir@tauex.tau.ac.il
- Website: http://www.biophysical-ecology.com
Rogelio Barrios Rosas (REACCIONA )
Interests/Experience
- Areas of Interest: Climate justice, Disaster prediction, management, and relief, Policy, Natural language processing
- Areas of Experience: Climate justice, Policy, Human-computer Interaction
- Additional details: Hello! I'm a Biomedical Physicist and founder of REACCIONA, a youth-led youth-focused NGO. I think that averting, managing and addressing climate change impacts is a priority of TODAY. Currently, I persue a career in the AI & Climate Change interface.
Seeking/Offering
- Seeking: Employment opportunities, Funding, Internships, Mentorship, Networking, Pro-bono consulting
- Offering: Data, Networking, Paid consulting, Pro-bono consulting, Research collaborations
Contact
- Location: Mexico
- Email: rogelio.rosas@reacciona.org
Caroline Prahl (Inkonova)
Seeking/Offering
- Seeking: Funding, Mentorship, Networking, Pro-bono consulting, Research collaborations, Startup co-founder
- Offering: Internships, Networking, Research collaborations, Startup co-founder
Contact
- Location: Sverige
- Email: caroline@climateaction.ag
Kunal Khurana
Short Bio
I'm a soil physicist with more than 10 years of working experience in agronomy, soil fertility, and plant nutrition. I gained this experience by working at different geographic locations of the world on diverse projects with different experts. I am particularly passionate about working with AI and machine learning professionals to fight against climate change by storing more amount of C in the soil and saving precious water.
Interests/Experience
- Areas of Interest: Classification, regression, and supervised learning, Computer vision and remote sensing
- Areas of Experience: Agriculture, Carbon capture and sequestration, Ecosystems and natural resources, Data mining, Generative modeling
Contact
- Location: Montréal
- Email: Khuranasoilpau@gmail.com
- Website: https://ilovesoils.com/about.html
- Twitter URL: https://twitter.com/kunalkhurana007
- LinkedIn URL: https://www.linkedin.com/in/khuranasoils/
Nathan Kiner (Sunjul)
Short Bio
Entrepreneur in climate tech (cleantech / agritech) and data science lead. Previously Google Maps, Google Research, working on Earth Observation and 3D world reconstruction.
Interests/Experience
- Areas of Experience: Agriculture, Buildings and cities, Forestry and other land use, Power and energy, Classification, regression, and supervised learning, Computer vision and remote sensing, Recommender systems
Seeking/Offering
- Seeking: Data, Funding, Networking, Startup co-founder
- Offering: Mentorship, Networking, Paid consulting, Startup co-founder
Contact
- Location: Berlin, Germany
- Email: nathankiner@gmail.com
- Website: http://sunjul.com/
- LinkedIn URL: https://www.linkedin.com/in/nathankiner
Helena Yu
Short Bio
Helena is a seasoned Data Scientist and Strategist with experience across a range of industries, including technology, financial services, retail, and telecommunications. Her leadership in analytics projects and expertise in defining data strategy and creating analytics solutions have enabled her to drive tactical, operational, and strategic decision-making in close collaboration with cross-functional teams. With her mastery of statistical and machine learning techniques, Helena optimizes revenue growth, enhancing customer experiences while reducing operational costs and revenue loss. She has led the development of a hybrid and sequence-aware recommender system proof of concepts, along with creating fraud detection, anomaly detection, and forecasting models. Notably, Helena led a pro bono team that conducted descriptive and natural language processing (NLP) analyses for Global Count, a survey that garnered over 32,000 responses from women and gender-diverse individuals in 173 countries and 17 languages. Additionally, she contributed to the creation of a predictive model to inform preventive interventions to end human trafficking in the United States
Interests/Experience
- Areas of Interest: Climate justice, Disaster prediction, management, and relief, Societal adaptation
- Areas of Experience: Ecosystems and natural resources, Policy, Classification, regression, and supervised learning, Data mining, Recommender systems, Time-series analysis
Seeking/Offering
- Seeking: Employment opportunities, Mentorship, Networking, Research collaborations
- Offering: Pro-bono consulting
Contact
- Location: Toronto, Canada
- Email: helena.yqs@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/helena-qiaoshan-yu/
Kianoush (ÉTS)
Contact
- Email: khbalaei@gmail.com
- Circle URL: https://community.climatechange.ai/u/0e5d272b
Fredrick Kariuki
Short Bio
I am a graduate Agricultural and Bio-systems Engineer seeking opportunities to blend academic knowledge with practical experience in my field and eager to leverage my interpersonal skills, academic knowledge and practical experience gained over the years to drive positive change and innovation in agricultural sustainability initiatives.
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate and Earth science, Climate finance, Ecosystems and natural resources, Power and energy, Computer vision and remote sensing, Data mining, Hybrid physical models, Time-series analysis
- Areas of Experience: Agriculture, Power and energy
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Internships, Mentorship, Networking
Contact
- Location: Nairobi, Kenya
- LinkedIn URL: https://www.linkedin.com/in/fredrick-kariuki/
Quoc Viet Nguyen (Polytechnique)
Short Bio
Hello, I'm a third-year student in Engineering Program at Polytechnique. My major is Applied Mathematics and I'm particularly interested in climate change and global warming and want to apply what I learn in that matter.
Interests/Experience
- Areas of Interest: Climate and Earth science, Forestry and other land use, Causal and Bayesian methods, Generative modeling
Seeking/Offering
- Seeking: Data, Internships, Mentorship
Contact
- Location: Palaiseau, Paris
- Email: quoc.nguyen@polytechnique.edu
- LinkedIn URL: https://www.linkedin.com/feed/
Coroiu (UBB)
Interests/Experience
- Areas of Interest: Data mining, Generative modeling
- Areas of Experience: Disaster prediction, management, and relief
Contact
- Location: Romania
- Email: amcoroiu@gmail.com
- Website: https://sites.google.com/view/adrianamihaelacoroiu/home
Galen Vincent (Carnegie Mellon University)
Short Bio
I'm a PhD student in the Statistics and Data Science department at Carnegie Mellon University. My research is focused on developing statistically rigorous and scientifically interpretable methods for analyzing environmental data.
Interests/Experience
- Areas of Interest: Climate and Earth science, Disaster prediction, management, and relief, Hybrid physical models
- Areas of Experience: Classification, regression, and supervised learning, Interpretable ML, Uncertainty quantification and robustness
Seeking/Offering
- Seeking: Employment opportunities, Internships, Mentorship, Networking
- Offering: Networking, Research collaborations
Contact
- Location: Pittsburgh, PA
- Email: galenbvincent@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/galen-vincent/
- Circle URL: https://community.climatechange.ai/u/419cb5c6
Crystal Soo (Data In Power)
Short Bio
I run the Data In Power meetup in NYC and virtually.
Interests/Experience
- Areas of Interest: Climate justice, Power and energy, Time-series analysis
- Areas of Experience: Climate justice, Power and energy, Time-series analysis
Seeking/Offering
- Additional details: Check out my Data In Power meetup at lu.ma/derprojectfair!
Contact
- Location: New York City
- Website: https://lu.ma/derprojectfair
Gang Huang (Zhejiang University)
Short Bio
I am currently an assistant professor with the College of Electrical Engineering at Zhejiang University. Prior to this role, I served as a senior researcher at Zhejiang Lab. I completed the doctoral training at Zhejiang University and Argonne National Laboratory.
Interests/Experience
- Areas of Interest: Data mining, Power and energy, Transportation, Classification, regression, and supervised learning, Reinforcement learning and control, Time-series analysis, Policy
- Areas of Experience: Power and energy, Transportation, Classification, regression, and supervised learning, Time-series analysis
Seeking/Offering
- Seeking: Data, Research collaborations
- Offering: Employment opportunities, Research collaborations
Contact
- Email: huanggang@zju.edu.cn
- Website: https://gondor.org
Andrea (Stevens Institute of Technology)
Interests/Experience
- Areas of Interest: Disaster prediction, management, and relief
- Areas of Experience: Disaster prediction, management, and relief, Policy
Seeking/Offering
- Seeking: Research collaborations
- Offering: Mentorship
Contact
- Location: Mexico City
- Email: agarciat@stevens.edu
Vinicius Silva
Short Bio
Computar Scientist and Public Policy Analyst at Federal Government
Interests/Experience
- Areas of Interest: Agriculture, Behavioral and social science, Buildings and cities, Carbon capture and sequestration, Climate and Earth science, Climate finance, Climate justice, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Industry, Policy, Power and energy, Societal adaptation, Transportation, Active learning, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Human-computer Interaction, Hybrid physical models, Interpretable ML, Meta- and transfer learning, Natural language processing, Recommender systems, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Natural language processing
Contact
- Location: Brazil
- Email: vinicius.faria-silva@planejamento.gov.br
Sebastien Floodpage (Google.org)
Interests/Experience
- Areas of Interest: Buildings and cities, Disaster prediction, management, and relief, Power and energy, Transportation
Seeking/Offering
- Seeking: Startup co-founder
Contact
- Location: Zurich, Switzerland
- Email: sebastien.floodpage@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/sebastien-floodpage/
Neha Puri (Faculty AI )
Short Bio
Green finance specialist, with over a decade of experience in low-carbon infrastructure / technologies in Europe, South Asia and Americas. Currently Commercial Principal at Faculty AI.
Interests/Experience
- Areas of Interest: Buildings and cities, Climate finance, Transportation, Causal and Bayesian methods, Computer vision and remote sensing, Interpretable ML, Time-series analysis
- Areas of Experience: Buildings and cities, Climate finance, Policy, Power and energy, Transportation, Causal and Bayesian methods, Computer vision and remote sensing, Interpretable ML, Time-series analysis, Uncertainty quantification and robustness
- Additional details: Experience of leading infra projects focussing on asset inspection (Computer Vision), anomaly detection (Unsupervised Time Series Analysis), and operational forecasting (Bayesian Hierarchical Modelling).
Seeking/Offering
- Seeking: Networking, Paid consulting, Pro-bono consulting, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Location: London, UK
- LinkedIn URL: https://www.linkedin.com/in/purineha
Alejandro (The Alan Turing Institute)
Short Bio
Physical Geographer with 13+ years of experience working with AI and data science for environmental sustainability. Contributed to multidisciplinary projects by developing data-driven pipelines supported by AI and data science for use in decision-making among a variety of international research, public and private institutions. Most notable projects include an early warning system of deforestation in the pantropics, the automation of digital soil mapping processes in data-scarse environments in Colombia, and end-to-end weather monitoring of environmental variables including soil moisture in the UK using open-source software.
Interests/Experience
- Areas of Interest: Climate and Earth science, Ecosystems and natural resources, Computer vision and remote sensing, Hybrid physical models, Interpretable ML, Meta- and transfer learning, Time-series analysis, Uncertainty quantification and robustness
- Areas of Experience: Climate and Earth science, Ecosystems and natural resources, Computer vision and remote sensing, Meta- and transfer learning
Seeking/Offering
- Seeking: Funding, Networking, Research collaborations
- Offering: Employment opportunities, Mentorship
Contact
- Location: London
- Email: acocac@gmail.com
- Website: https://acocac.github.io
- LinkedIn URL: https://www.linkedin.com/in/alejandro-coca-castro/
- Circle URL: https://community.climatechange.ai/u/a8a8fb5a
Aycha Tammour
Short Bio
I am an astrophysicist by training and a data scientist by profession. Given my academic background, I am interested in ML/AI applications connected to climate change
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate and Earth science, Climate justice, Disaster prediction, management, and relief, Classification, regression, and supervised learning, Natural language processing, Time-series analysis, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Employment opportunities, Mentorship, Networking, Paid consulting, Pro-bono consulting
Contact
- Location: Ontario, Canada
- Email: aycha.tammour@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/aychatammour/
Sawsan Abdulbari
Interests/Experience
- Areas of Interest: Buildings and cities, Climate justice, Agriculture, Power and energy, Disaster prediction, management, and relief, Carbon capture and sequestration, Climate and Earth science, Climate finance
- Areas of Experience: Unsupervised and semi-supervised learning, Classification, regression, and supervised learning, Natural language processing, Computer vision and remote sensing
Seeking/Offering
- Seeking: Internships
- Offering: Research collaborations
Contact
- Location: Finland
- Email: sawsan.abdulbari@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/sawsanabdulbari/
- Circle URL: https://community.climatechange.ai/u/fe62c105
Andy Chen (Afresh Technologies, Stanford Food Design)
Short Bio
ML Engineering at Afresh Technologies (reducing fresh food waste at the grocery level!) ||| Stanford Math + Computer Science ||| Stanford Food Recovery
Interests/Experience
- Areas of Interest: Agriculture, Behavioral and social science, Classification, regression, and supervised learning, Generative modeling, Reinforcement learning and control, Uncertainty quantification and robustness
- Areas of Experience: Industry, Classification, regression, and supervised learning, Time-series analysis
- Additional details: My experience and interests are primarily in food systems, especially in food waste reduction. I'm currently doing ML engineering at Afresh Technologies!
Seeking/Offering
- Seeking: Mentorship, Networking, Research collaborations
- Offering: Networking, Research collaborations
Contact
- LinkedIn URL: https://www.linkedin.com/in/asjchen/
Oscar Rodriguz (Estudiante)
Short Bio
I am an electronic engineer and student in meteorology at the National University of Colombia. My interest is to use artificial intelligence to create tools that help in the agricultural sector.
Interests/Experience
- Additional details: My personal interests are in the agricultural sector and risk management in crops, fauna and climate change scenarios.
Contact
- Location: Bogota Colombia
- Email: osrodriguezb@unal.edu.co
- LinkedIn URL: https://www.linkedin.com/in/oscar-rodriguez-tiempo-y-clima/
Wassem Alward (Schlumberger)
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate and Earth science, Classification, regression, and supervised learning, Hybrid physical models, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
Contact
- Location: Iraq
- Email: wassemalward@hotmail.com
- LinkedIn URL: https://www.linkedin.com/in/wassem-m-alward-a7325546/
Quentin Paletta (European Space Agency)
Short Bio
I am a postdoctoral research fellow at the European Space Agency (ESA) in AI and the use of Earth Observations for Climate. My research focuses on predicting the impact of weather on solar power production at different spatio-temporal scales (local and regional, from minutes to hours in the future). This aims at accelerating the transition towards renewable energy sources by addressing the inherent variability of solar energy caused by meteorological influences such as aerosols and clouds. More specifically, my work involves developing short-term solar forecasting methods based on cloud cover observations from geostationary satellites or ground-level sky cameras. My research interests include power systems, weather forecasting, remote sensing, machine learning, image and video analysis.
Interests/Experience
- Areas of Interest: Power and energy, Computer vision and remote sensing
- Areas of Experience: Power and energy, Computer vision and remote sensing
Seeking/Offering
- Seeking: Employment opportunities, Internships, Research collaborations, Academic positions, Funding
- Offering: Mentorship
Contact
- Location: Rome, Italy
- Email: quentin.paletta@gmail.com
- Website: https://quentinpaletta.github.io/
- Twitter URL: https://twitter.com/QuentinPaletta
- LinkedIn URL: https://www.linkedin.com/in/quentin-paletta-3855b412b/
Paula Harder (Fraunhofer Institute, Mila)
Short Bio
I am a Ph.D. student working on deep learning for climate modeling together with the Fraunhofer ITWM, the University of Oxford, and Mila. I am particularly interested in integrating physics constraints into neural networks and speeding up climate models with ML. I worked with aerosol models, wildfires, and super-resolution.
Interests/Experience
- Areas of Interest: Climate and Earth science, Classification, regression, and supervised learning, Generative modeling
Contact
- Location: Germany
- Email: paula.harder@itwm.fraunhofer.de
- Website: https://paulaharder.github.io/
- Twitter URL: https://twitter.com/PaulaHarder8
- LinkedIn URL: https://www.linkedin.com/in/paulaharder/
- Circle URL: https://community.climatechange.ai/u/f1ad63d4?
Julian de Hoog (University of Melbourne)
Short Bio
Research scientist with research background in both academia and industry (IBM Research), across electrified transport, solar power forecasting, optimal energy storage operation, and more recently deep learning.
Interests/Experience
- Areas of Interest: Power and energy, Computer vision and remote sensing, Time-series analysis
- Areas of Experience: Industry, Power and energy, Transportation, Time-series analysis
Seeking/Offering
- Seeking: Research collaborations
- Offering: Research collaborations
Contact
- Email: julian.dehoog@unimelb.edu.au
- Website: http://www.juliandehoog.com/
- LinkedIn URL: https://www.linkedin.com/in/juliandehoog/
Joshua Tabor Dimasaka (University of Cambridge)
Short Bio
Postgraduate Researcher at Cambridge AI for the study of Environmental Risks
Interests/Experience
- Areas of Interest: Disaster prediction, management, and relief, Causal and Bayesian methods
- Areas of Experience: Buildings and cities, Disaster prediction, management, and relief
Seeking/Offering
- Seeking: Academic positions, Data, Employment opportunities, Funding, Internships, Paid consulting, Research collaborations, Startup co-founder
Contact
- Location: Cambridge, United Kingdom
- Email: jtd33@cam.ac.uk
- Website: https://www.joshuadimasaka.com/
- Twitter URL: https://twitter.com/joshuadimasaka
- LinkedIn URL: https://www.linkedin.com/in/dimasaka/
- Circle URL: https://community.climatechange.ai/u/cd523d95?
Elizabeth Bondi (Harvard University)
Short Bio
I am a PhD candidate in Computer Science at Harvard University advised by Prof. Milind Tambe. My research interests lie broadly in the area of artificial intelligence (AI) for social impact, particularly spanning the fields of multi-agent systems and data science for conservation and public health. I also founded Try AI, a 501(c)(3) nonprofit committed to increasing diversity, equity, inclusion, and belonging in AI. We design and host educational programs that seek to build community and explore the potential application of AI in society.
Interests/Experience
- Areas of Interest: Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Human-computer Interaction, Reinforcement learning and control
- Areas of Experience: Ecosystems and natural resources, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining
Contact
- Location: Cambridge, MA, USA
- Email: ebondi@g.harvard.edu
- Website: https://sites.google.com/view/elizabethbondi
- Twitter URL: https://twitter.com/BondiElizabeth
- LinkedIn URL: https://www.linkedin.com/in/elizabethbondi/
- Circle URL: https://community.climatechange.ai/u/83183082
Nick Hassam (Reask)
Short Bio
Nick is co-founder and Chief Commercial Officer of Reask and an expert in the application of technology to the global re/insurance industry, to help better understand the impact of natural catastrophes. He has 25 years’ professional experience with for organisations and in markets across the globe. In close collaboration with the Reask team, partners and clients, Nick is helping define the future of catastrophe and climate modelling.
Interests/Experience
- Areas of Interest: Climate and Earth science, Climate finance, Disaster prediction, management, and relief, Industry, Computer vision and remote sensing
- Areas of Experience: Climate and Earth science, Climate finance, Disaster prediction, management, and relief, Computer vision and remote sensing
Seeking/Offering
- Seeking: Data, Networking
- Offering: Data, Employment opportunities, Internships, Mentorship, Networking, Research collaborations
Contact
- Location: Australia
- Email: nick@reask.earth
- Website: https://reask.earth/
- Twitter URL: https://twitter.com/reaskearth
- LinkedIn URL: https://www.linkedin.com/in/nickhassam/
Thomas Walther (Utrecht University)
Short Bio
Assistant Professor of Finance with research on financial econometrics; climate/energy/commodity finance
Interests/Experience
- Areas of Interest: Climate finance, Ecosystems and natural resources, Industry, Policy, Power and energy, Active learning, Classification, regression, and supervised learning, Interpretable ML, Natural language processing, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Climate finance, Time-series analysis
Seeking/Offering
- Seeking: Funding, Mentorship, Networking, Research collaborations
- Offering: Networking
Contact
- Email: t.walther@uu.nl
- Website: http://www.thomas-walther.info
- Twitter URL: https://www.twitter.com/th_walther
- LinkedIn URL: https://www.linkedin.com/in/thomas-walther-a8459663/
Ademola Okerinde
Interests/Experience
- Areas of Interest: Computer vision and remote sensing
- Areas of Experience: Data mining
Contact
- Email: okerinde@ksu.edu
- LinkedIn URL: https://www.linkedin.com/in/demolakstate/
Alagesan A (Tamil Nadu Agricultural University)
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate and Earth science, Ecosystems and natural resources, Time-series analysis
Contact
- Location: INDIA
- Email: alagesan@tnau.ac.in
James Doss-Gollin (Rice University)
Short Bio
Assistant professor of civil and environmental engineering at Rice University. My research focuses on probabilistic assessment of spatiotemporally clustered climate hazards, and on using these assessments to improve urban infrastructure systems.
Interests/Experience
- Areas of Interest: Buildings and cities, Climate and Earth science, Climate justice, Disaster prediction, management, and relief, Power and energy, Societal adaptation, Causal and Bayesian methods, Generative modeling, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness
- Areas of Experience: Climate and Earth science, Power and energy, Societal adaptation, Causal and Bayesian methods, Time-series analysis, Uncertainty quantification and robustness
Seeking/Offering
- Seeking: Funding, Networking, Research collaborations
- Offering: Academic positions, Employment opportunities, Mentorship, Networking, Research collaborations
Contact
- Location: Houston
- Email: james.dossgollin@gmail.com
- Website: https://dossgollin-lab.github.io
- Twitter URL: https://twitter.com/jdossgollin
Jake Wigal (Climate Change AI)
Short Bio
Hi, I am a Software Developer at CCAI.
Interests/Experience
- Areas of Interest: Behavioral and social science, Computer vision and remote sensing
- Areas of Experience: Classification, regression, and supervised learning
Seeking/Offering
- Seeking: Research collaborations
- Offering: Networking
Contact
- Location: Irvine, CA
- Email: jake@climatechange.ai
- Website: https://jakewigal.com
- LinkedIn URL: https://linkedin.com/in/jakewigal
- Circle URL: https://community.climatechange.ai/u/7ac8a156
Luc Wuytens
Short Bio
Hi all, my 20+ yrs career is mainly about supply chain planning. However in recent years I became quite interested in AI and Big Data as well. As a result, I graduated summa cum laude last year, in 2020, for a postgraduate in big data and analytics with a dissertation in the context of deep learning and circular economy. Today I am working on the intersection of supply chain planning and AI, as director delivery for www.lop.ai. There is perhaps no direct link to climate change in my job, but I like to think that there are many indirect links. In my private time, I am aiming to become more 'engaged' towards climate change and I would like to contribute and use my skill set in this area as well.
Interests/Experience
- Areas of Interest: Climate and Earth science, Disaster prediction, management, and relief, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Hybrid physical models, Reinforcement learning and control, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining
Seeking/Offering
- Seeking: Data, Networking
- Offering: Networking
Contact
- Location: Belgium, Leuven
- LinkedIn URL: https://www.linkedin.com/in/luc-wuytens-2470502/
Pranav Bhosale (BITS Pilani)
Short Bio
Starting out as a software developer. Interested in tech for social good.
Interests/Experience
- Areas of Interest: Climate and Earth science, Policy, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Mentorship, Networking
Contact
- Email: pranavbhosale25@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/pranavbhosale2502/
Tahir Deniz Ozustun
Short Bio
I'm working at DOMiNO Ventures as an associate and I'm responsible for the ESG & Sustainability strategy of the fund. DOMiNO Ventures is a Dutch-based VC focusing on high-tech, pure-digital, and first-day global startups from Eastern Europe, Central Asia, and Turkiye. While we're not a climate-tech-focused VC, we have invested in some climate-tech startups in our target markets and want to invest more. Besides, I am leading our ESG and sustainability-related operations and making an effort to improve our muscles in ESG and sustainability. In this aspect, I'd like to share that we are open to any partnerships and collaborations with other VCs (particularly in exchanging deals), innovation centers, and communities.
Interests/Experience
- Areas of Interest: Climate finance, Industry, Policy
- Additional details: DOMiNO Ventures invests in AI-driven climate-tech startups. Also, we want to improve our know-how and learn from others' experience. In this aspect, we're open for any collaboration and partnerships!
Seeking/Offering
- Seeking: Mentorship, Networking
- Offering: Data, Funding, Internships, Networking
Contact
- Location: Istanbul & Amsterdam
- Email: tahir@dominovc.com
- LinkedIn URL: https://www.linkedin.com/in/tahir-deniz-%C3%B6z%C3%BCst%C3%BCn-b22207181/
Anusha Sethuraman
Short Bio
Anusha is a seasoned marketing executive with 18+ years of experience in high-tech marketing. She’s survived an IPO, and an acquisition, and served as VP of marketing at early-stage Climate & AI startups leading them from Seed to Series B. With an engineering and product marketing background, Anusha is skilled at taking unknown brands and making them a well-known leader in their space through a marketing-led growth model. Anusha is the founder of Once Upon a Clime, a Climate Tech and AI storytelling & marketing firm that works with Climate & AI startups on their GTM strategies. She is also a Terra.do Fellow.
Interests/Experience
- Areas of Interest: Behavioral and social science, Carbon capture and sequestration, Climate justice, Ecosystems and natural resources, Interpretable ML
Seeking/Offering
- Offering: Paid consulting
Contact
- Location: San Francisco Bay Area
- Website: https://www.onceuponaclime.com/
- LinkedIn URL: https://www.linkedin.com/in/anushasethuraman/
- Circle URL: https://community.climatechange.ai/u/ff7e46f3
Tim Hunter (ABN Amro Bank)
Short Bio
MSc Stanford Electrical Engineering, Ph.D. UC Berkeley in Machine Learning, 10th employee of Databricks, lead of AI at a large Dutch bank
Interests/Experience
- Areas of Interest: Climate and Earth science, Climate finance, Forestry and other land use, Computer vision and remote sensing, Uncertainty quantification and robustness
Seeking/Offering
- Seeking: Data, Employment opportunities, Networking, Research collaborations
- Offering: Mentorship, Pro-bono consulting
Contact
- Location: Netherlands
- Email: tjhunter@cs.stanford.edu
- LinkedIn URL: https://www.linkedin.com/in/timotheehunter/
Kevin Joshi (Indian Institute of Technology Bombay, Mumbai)
Short Bio
Research at the intersection of data, renewable energy, and policy.
Interests/Experience
- Areas of Interest: Buildings and cities, Policy, Power and energy, Data mining
- Areas of Experience: Buildings and cities, Power and energy, Data mining
Seeking/Offering
- Seeking: Employment opportunities, Lacuna Fund Collaborations, Mentorship, Research collaborations
Contact
- Location: Mumbai
- Email: kevinjoshi9888@gmail.com
Begashaw Meberate (CEO)
Short Bio
My name is Begashaw Meberate a seasoned agricultural Expert by profession and an Agripreuner by passion from Ethiopia. I have a master's Degree in Rural development management from Bahir Dar University with 15 years of experience in the field of agriculture and the rural development sector. I am the CEO and Founder of Bfarm-Tech. It is a startup digital mechanization company that has been providing mechanization services for smallholder farmers in Ethiopia since January 2020. Recently, we have developed a digital platform using IoT, ML, a mobile app, and a call center that aims to connect farmers with mechanization service providers in Ethiopia.
Interests/Experience
- Areas of Interest: Agriculture, Active learning
Seeking/Offering
- Seeking: Funding, Lacuna Fund Collaborations, Networking
- Offering: Employment opportunities, Networking
Contact
- Location: Ethiopia
- Email: meberateson@gmail.com
- Website: https://bfarmtech.com
- Twitter URL: https://twitter.com/BMeberate
- LinkedIn URL: https://www.linkedin.com/in/begashaw-meberate-53b13723b/?lipi=urn%3Ali%3Apage%3Ad_UNKNOWN_ROUTE_feed.error%3BbnyMBPRqSSmZVkSjXvm2LQ%3D%3D
Alireza Shams (Data Scientist & Process Analytics at Svante Inc.)
Short Bio
Ph.D. in Chemical Engineering with over 15 years of experience as a data scientist & process specialist in energy, acid gas removal & CO2 capture, materials, liquid-crystal polymers, biotechnology, and environmental projects.
Interests/Experience
- Areas of Interest: Data mining, Generative modeling, Meta- and transfer learning, Unsupervised and semi-supervised learning
- Areas of Experience: Generative modeling, Classification, regression, and supervised learning, Carbon capture and sequestration, Industry, Time-series analysis
- Additional details: Data Scientist & Process Specialist, Experienced in Industrial Design & Scale-up, Modelling & Simulation, TEA, Data Analysis, Machine Learning, and AI.
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Pro-bono consulting
Contact
- Email: alireza.shams@gmail.com
- Website: https://www.alirezashams.com/professional
- Twitter URL: https://twitter.com/alireza1360
- LinkedIn URL: https://www.linkedin.com/in/alireza-shams/
Kasia Tokarska (ETH Zurich (former postdoc))
Short Bio
I am a climate scientist exploring carbon-climate interactions and how they change under anthropogenic influence. I am also interested in providing more robust projections of the Earth's future climate, using climate models and a variety of data analysis tools. I am also very interested in interpretable and physically-informed machine learning applications to climate data analysis, and different ways to quantify the uncertainty.
Interests/Experience
- Areas of Interest: Hybrid physical models, Uncertainty quantification and robustness, Interpretable ML
- Areas of Experience: Climate and Earth science
Seeking/Offering
- Seeking: Networking
- Offering: Networking, Mentorship, Research collaborations
Contact
- Website: https://www.kasiatokarska.com/
- Twitter URL: https://twitter.com/kasia_tokarska
- LinkedIn URL: https://www.linkedin.com/in/tokarska/
- Circle URL: https://community.climatechange.ai/u/8a402df7
Solomon Ali
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate and Earth science, Disaster prediction, management, and relief
- Areas of Experience: Agriculture, Disaster prediction, management, and relief, Data mining
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Networking, Research collaborations
- Offering: Mentorship, Research collaborations
Contact
- Email: Solomon_Ali@dmu.edu.et
- Twitter URL: https://x.com/Solomon09106852
- LinkedIn URL: http://www.linkedin.com/in/solomonali
Alan Cordova (Fluence Energy)
Interests/Experience
- Areas of Interest: Power and energy
- Areas of Experience: Power and energy
Seeking/Offering
- Offering: Employment opportunities
Contact
- Location: San Francisco, CA
- Email: alan.cordova@fluenceenergy.com
- Website: http://www.fluenceenergy.com
- Twitter URL: http://twitter.com/alancordova
- LinkedIn URL: http://www.linkedin.com/in/alanc
- Circle URL: https://community.climatechange.ai/u/b2f4f538
Irfan Alghani Khalid
Short Bio
I studied at agricultural-oriented university in Indonesia with a major in computer science, so I've got insights on how my knowledge could help on environmental issues. Also, I lived on a place where wildfires occur annually, so the calling for working on AI x Climate Change projects is huge for me.
Interests/Experience
- Areas of Interest: Climate and Earth science, Disaster prediction, management, and relief, Forestry and other land use, Computer vision and remote sensing
- Areas of Experience: Classification, regression, and supervised learning, Data mining
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Internships, Mentorship, Networking
Contact
- Location: Pekanbaru, Indonesia
- Email: khaliddotdev@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/alghaniirfan/
Megan Chen (Ministry of Environment of Panama)
Interests/Experience
- Areas of Interest: Climate and Earth science, Climate finance, Disaster prediction, management, and relief, Data mining, Human-computer Interaction, Natural language processing
- Areas of Experience: Climate finance
Seeking/Offering
- Seeking: Data, Mentorship, Networking, Research collaborations
- Offering: Networking
Contact
- Location: Panama, Panama City
- Email: mchen@miambiente.gob.pa
Jie Zhao (Technische Universität München)
Short Bio
Currently, I am a Postdoc focusing on large-scale flood mapping using earth observation data at the department of Data Science in Earth observation, Technical University of Munich. My research interests broadly lie in flood mapping, deep learning, and SAR image analysis.
Interests/Experience
- Areas of Interest: Buildings and cities, Disaster prediction, management, and relief, Classification, regression, and supervised learning
- Areas of Experience: Disaster prediction, management, and relief, Computer vision and remote sensing
Seeking/Offering
- Seeking: Academic positions, Data, Funding, Research collaborations
- Offering: Research collaborations
Contact
- LinkedIn URL: https://www.linkedin.com/in/jie-zhao-586477100/
Seth Nyawacha (Technical University of Kenya)
Short Bio
Seth Nyawacha is an experienced and passionate Earth Observation Expert, with a proven track record in spatial analysis, ecosystem environmental modelling and system design. He is keen in realizing impacts through citizen based scientific designs and solutions. He is also passionate about the application of Earth Observation and technology in achieving some of the main sustainable global goals including safe space for flora and fauna, peace, justice and strong institutions through patnerships.
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate and Earth science, Climate finance, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use
- Areas of Experience: Agriculture, Carbon capture and sequestration, Climate and Earth science, Climate finance, Disaster prediction, management, and relief, Ecosystems and natural resources
Seeking/Offering
- Seeking: Data, Employment opportunities, Funding, Lacuna Fund Collaborations, Mentorship, Networking, Pro-bono consulting
- Offering: Networking, Research collaborations, Startup co-founder
Contact
- Location: Kenya
- Email: snyawacha@gmail.com
- Website: https://sethnyawacha.surge.sh/
- Twitter URL: https://sethnyawacha.surge.sh/
- LinkedIn URL: https://sethnyawacha.surge.sh/
Rafay Ahmed
Interests/Experience
- Areas of Interest: Climate justice, Disaster prediction, management, and relief, Policy, Active learning, Classification, regression, and supervised learning, Data mining
Seeking/Offering
- Seeking: Academic positions, Internships, Mentorship, Research collaborations
Contact
- Email: rafayahmedb@gmail.com
Pranoy Panda (Indian Institute of Technology Hyderabad)
Short Bio
I am a Master's(by Research) student in the CS department and am currently working on interpretability in ML and understanding distribution shifts. I aspire to contribute to the cause of climate change, but currently not sure how
Interests/Experience
- Areas of Interest: Climate and Earth science, Disaster prediction, management, and relief, Classification, regression, and supervised learning, Computer vision and remote sensing, Interpretable ML
- Areas of Experience: Classification, regression, and supervised learning, Interpretable ML
Contact
- Location: India
- Email: 1997pranoy@gmail.com
- Website: https://sites.google.com/view/pranoy-panda/
- Twitter URL: https://twitter.com/PandaPranoy
- LinkedIn URL: https://www.linkedin.com/in/pranoy-panda-939353105/
- Circle URL: https://community.climatechange.ai/u/bcb97f4c
Lakshmi Babu Saheer (Anglia Ruskin University)
Short Bio
Lakshmi is the director of the CIA research group with expertise in applications of Artificial Intelligence in the domains of Climate Change, NetZero, Air quality, Vegetation/Terrain Identification, Audio, Speech, NLP, IoT and Healthcare. She has numerous publications and prestigious awards to her credit including Google's Anita Borg award, and funding from several EU (FP7, Eureka and Hasler Innovation start-up) funds. She is currently leading multiple climate action projects with Local Authorities in the UK.
Interests/Experience
- Areas of Interest: Agriculture, Buildings and cities, Climate and Earth science, Disaster prediction, management, and relief, Forestry and other land use, Classification, regression, and supervised learning, Computer vision and remote sensing
- Areas of Experience: Agriculture, Buildings and cities, Climate and Earth science, Disaster prediction, management, and relief, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Human-computer Interaction, Meta- and transfer learning, Natural language processing, Time-series analysis
- Additional details: Coming from an industrial background, Lakshmi has been focussing her research on Machine Learning, Deep Learning and Artificial Intelligence mainly in the domains of Climate Change, NetZero, Air quality, Vegetation & Terrain Identification, Sustainable Food Supply Chain, Audio, Speech, NLP, IoT, Biomedical and Healthcare. She has more than 20+ years of applied and academic research experience working at different prestigious international organizations. She is currently working with local authorities in UK on NetZero, Climate Change and Digital healthcare related topics through ARU-QR funds. Lakshmi has to her credit numerous reputed journal and conference publications. She is a guest editor for MDPI special edition journal on Sustainability and official reviewer of NIHR & other funding applications, IEEE/Eurasip journals, major conferences and workshops in her domain. Google Anita Borg award, Hasler Innovation project funding (worth 150,000 CHF) for her own start-up initiative, VentureKick Award, and the Ark Grant represents a sample of the awards she has received, as well as EU (Eureka, Hasler and FP7) funding for her doctoral and post-doctoral research.
Seeking/Offering
- Seeking: Research collaborations
- Additional details: Open to collaborations especially for funding applications and impactful projects
Contact
- Location: United Kingdom
- Email: lakshmi.babu-saheer@aru.ac.uk
- Website: https://www.aru.ac.uk/people/lakshmi-babu-saheer
- LinkedIn URL: https://www.linkedin.com/in/lakshmi-babu-saheer-5459a68/?originalSubdomain=uk
Stephen Haben (Energy Systems Catapult)
Short Bio
Senior Data Science Consultant at Energy Systems Catapult and Visiting Researcher at the Mathematical Institute at Oxford University. Background in low voltage and smart meter data analytics, in particular load forecasting.
Interests/Experience
- Areas of Interest: Behavioral and social science, Buildings and cities, Climate finance, Industry, Power and energy, Classification, regression, and supervised learning, Time-series analysis, Uncertainty quantification and robustness
- Areas of Experience: Power and energy, Classification, regression, and supervised learning, Data mining, Time-series analysis, Uncertainty quantification and robustness
- Additional details: Background in load forecasting for low voltage distribution networks. In particular probabilistic load forecasting. Also work in clustering, meta-heuristic optimisation, and bootstrapping. Background in data assimilation for numerical weather prediction.
Contact
- Location: UK
- Website: https://www.maths.ox.ac.uk/people/stephen.haben
- Twitter URL: https://twitter.com/SteveHaben/
- LinkedIn URL: https://www.linkedin.com/in/stephen-haben-062bb148/
Emmanuel Chukwuma (Nnamdi Azikiwe University)
Interests/Experience
- Additional details: I am an Agricultural Engineer by profession, and would love to develop capacity in applications of ML in agriculture and environmental issues.
Seeking/Offering
- Seeking: Data, Funding, Internships, Lacuna Fund Collaborations, Mentorship, Networking, Research collaborations
- Offering: Lacuna Fund Collaborations, Research collaborations
- Additional details: I am interest in collaboration that will enhance my research capacity.
Contact
- Location: Awka
- Email: ec.chukwuma@unizik.edu.ng
Donald (Egerton University)
Short Bio
Mr. Kirwa Donald Kiprono is pursuing a Master of Science in Agricultural Economics at Egerton University. His research interests include food economics, machine learning, remote sensing in agriculture, big data analytics to improve input efficiency and yield forecasting.
Interests/Experience
- Areas of Interest: Agriculture, Classification, regression, and supervised learning, Computer vision and remote sensing, Unsupervised and semi-supervised learning
- Areas of Experience: Agriculture, Classification, regression, and supervised learning, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Networking, Mentorship, Internships, Academic positions
- Offering: Paid consulting, Pro-bono consulting
Contact
- Location: Nakuru
- Email: kirwadonald77@gmail.com
- Twitter URL: https://twitter.com/Donald_K_kirwa
- LinkedIn URL: https://www.linkedin.com/in/donaldkirwa/
Victor Barone
Short Bio
I'm a geographer and the coordinator of territory, data, and innovation at GáveaLab Action Tank. My first major challenge was working in Haiti after the 2010 earthquake, where I helped set up a Geographic Information System and conducted mapping of damages and mitigation actions, such as identifying the best locations for installing latrines and biodigesters, in addition to conducting environmental studies. I have created and mentored startups, worked on government projects, served as a consultant at Accenture, Geoinformation Manager at Rio Negócios - Investment Promotion Agency, consultant for the IDB and board member of the Strategic Information Council for the City of the Pereira Passos Institute (IPP-Rio). One of the latest projects I participated in was the study "Amazonian Cities: A Call to Action" for amazonia2030.org.br, where we helped shape strategies for the sustainable development of the Amazon region. I am constantly seeking ways to apply new technology and data to tackle environmental and urban challenges. I aspire to expand my network and contribute to other projects. Let's talk!
Interests/Experience
- Areas of Interest: Agriculture, Behavioral and social science, Buildings and cities, Carbon capture and sequestration, Climate and Earth science, Climate finance, Climate justice, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Industry, Policy, Power and energy, Societal adaptation, Transportation, Active learning, Computer vision and remote sensing, Data mining, Generative modeling, Natural language processing, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Behavioral and social science, Buildings and cities, Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Societal adaptation, Transportation, Computer vision and remote sensing, Data mining, Generative modeling, Natural language processing, Time-series analysis, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Data, Employment opportunities, Networking, Paid consulting, Pro-bono consulting, Research collaborations, Startup co-founder
- Offering: Data, Internships, Mentorship, Networking, Paid consulting, Pro-bono consulting
Contact
- Location: Brasil
- Website: https://gavealab.solutions/
- LinkedIn URL: https://www.linkedin.com/in/victorbarone/?locale=en_US
Daniel Vazquez Sanz (Asociacion Huella de Carbono (Spain))
Short Bio
Posgrade in Software Engineerting + Telco Engineer. 40 years experience in IT including Datamining, Neural Networks, Marketing algorithms. Now founder of NGO : Asociación huella de carbono Spain. Trying to apply all AI to reduce carbon footprint in Spain helping citizens, entiites and enteprises.
Interests/Experience
- Areas of Interest: Power and energy, Forestry and other land use, Disaster prediction, management, and relief, Carbon capture and sequestration, Societal adaptation
- Areas of Experience: Forestry and other land use, Disaster prediction, management, and relief, Carbon capture and sequestration
Seeking/Offering
- Seeking: Networking, Mentorship, Research collaborations
- Offering: Networking, Mentorship, Research collaborations
- Additional details: We offer non paid volunteer positions in Carbon Footprint measurement, reduction, compensation. ( we are all non paid volunteers).
Contact
- Location: Gava, Barcelona, Spain
- Email: daniel.vazquez.sanz@asociacionhuelladecarbono.org
- Website: https://www.asociacionhuelladecarbono.org/en/
- Twitter URL: https://twitter.com/A_HuellaCarbono
- LinkedIn URL: https://www.linkedin.com/in/danielvazquezsanz/
Erol Hoke (Apiday)
Short Bio
Co-founder of a data science start up that uses NLP and innovative data architecture to allow companies to better manage their ESG data across all topics not just carbon. Passionate about creating real change to tackle the climate crisis.
Contact
- Location: London
- Email: ehoke9@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/erol-hoke-8389608a/
Bethany Lusch (Argonne National Laboratory)
Short Bio
machine learning + science + supercomputers
Interests/Experience
- Areas of Interest: Climate and Earth science, Active learning, Classification, regression, and supervised learning, Hybrid physical models, Interpretable ML, Time-series analysis, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Classification, regression, and supervised learning
- Additional details: In the context of climate, I'm especially interested in developing methods and tools to integrate AI simulations. My recent work includes developing machine-learning emulators to replace expensive parts of simulations. I am also interested in methods to incorporate domain knowledge in machine learning and representation learning.
Contact
- Location: Lemont, IL
- Email: blusch@anl.gov
- Website: https://bethanyl.github.io/
- Twitter URL: https://twitter.com/BethanyLusch
- LinkedIn URL: https://www.linkedin.com/in/bethany-lusch-06183336/
- Circle URL: https://community.climatechange.ai/u/1f647a45
Gabriel (Mines ParisTech - PSL University / RTE France)
Short Bio
PhD candidate in remote sensing applied to the detection of distributed solar panels
Interests/Experience
- Areas of Interest: Power and energy
- Areas of Experience: Computer vision and remote sensing
- Additional details: PhD dissertation focuses on understanding OOD generalisation in the context of remote sensing
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Location: Paris, France
- Website: https://github.com/gabrielkasmi/
- Twitter URL: https://twitter.com/gabriel_kasmi
- LinkedIn URL: https://www.linkedin.com/in/gabriel-kasmi-860334102/
- Circle URL: https://community.climatechange.ai/u/ec905caa
Pia Faustino (Thinking Machines Data Science)
Short Bio
I am the Director for Sustainability at Thinking Machines, where I lead the company's mission to use technology for social and environmental good. We work with government and nonprofit partners to address challenges in public health, humanitarian response, and sustainable development using data science.
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Ecosystems and natural resources, Forestry and other land use, Power and energy, Societal adaptation
- Areas of Experience: Active learning, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Interpretable ML, Natural language processing, Time-series analysis
- Additional details: Thinking Machines specializes in leading-edge data platforms and custom cloud AI solutions to match various business needs and social sector use cases. Our GeoAI solution uses remote sensing techniques, geospatial data, and machine learning to leverage location intelligence for grounded decision-making, while our DocAI solution uses NLP to turn unstructured documents into structured data and rapidly extract valuable insights. Lastly, our Customer Intelligence solution brings together terabytes of siloed data to fast-track customer data insights.
Seeking/Offering
- Seeking: Funding, Networking, Paid consulting, Research collaborations
- Offering: Data, Employment opportunities, Research collaborations
Contact
- Email: data-for-good@thinkingmachin.es
- Website: https://thinkingmachin.es/
- LinkedIn URL: https://www.linkedin.com/in/piafaustino/
Benjamin Lewis (AiFA Labs)
Interests/Experience
- Areas of Interest: Natural language processing
- Areas of Experience: Natural language processing
Seeking/Offering
- Seeking: Networking
- Offering: Employment opportunities
Contact
- Location: United States
- Email: benjamin.lewis@aifalabs.com
- Website: https://aifalabs.com/
- LinkedIn URL: https://www.linkedin.com/company/aifa-labs-official/
Davis Marques (Blue Carbon Pty. Ltd.)
Short Bio
Chief operations officer for Blue Carbon
Contact
- Location: Melbourne, Australia
- Website: https://bluecarbon.cc
Guannan (Peking University)
Short Bio
I am an Assistant Professor at Peking University, where I direct the DREAM (Digital Renewable Energy Analysis and Management) Lab. I am interested in AI for energy modelling and management.
Interests/Experience
- Areas of Interest: Power and energy, Transportation, Meta- and transfer learning, Reinforcement learning and control
- Areas of Experience: Power and energy
Seeking/Offering
- Seeking: Research collaborations
- Offering: Research collaborations
Contact
- Location: Beijing
- Email: gnhe@pku.edu.cn
- Website: https://www.guannanhe.com/
Javed Ali (University of Central Florida)
Interests/Experience
- Areas of Interest: Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Classification, regression, and supervised learning, Data mining, Time-series analysis
- Areas of Experience: Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Classification, regression, and supervised learning, Data mining, Time-series analysis, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Funding, Internships, Mentorship, Networking, Research collaborations
- Offering: Networking, Mentorship, Research collaborations
Contact
- Location: Orlando, FL
- Email: javedali28@gmail.com
- Website: https://www.javedali.net/
- Twitter URL: https://twitter.com/javedali99
- LinkedIn URL: https://www.linkedin.com/in/javedali18/
- Circle URL: https://community.climatechange.ai/u/503cfb1d
Monroe Stephenson (Reed College)
Short Bio
Hey, I'm Monroe and I am looking to transition from mathematics research to machine learning focusing on climate change.
Interests/Experience
- Areas of Interest: Agriculture, Transportation, Active learning, Natural language processing, Unsupervised and semi-supervised learning
- Additional details: Currently, I want to explore how math can formalize ideas in ML, and how those ideas can be applied. Applications I am interested in include transportation and agriculture.
Seeking/Offering
- Seeking: Academic positions, Research collaborations
Contact
- Location: Portland, OR
- Email: mostephen@reed.edu
- Website: http://people.reed.edu/~mostephen
Lijun Sun (McGill University)
Short Bio
I am an Assistant Professor in the Department of Civil Engineering at McGill University. My current research centers on the area of smart transportation and urban computing, developing innovative methodologies and applications to address efficiency, resilience, and sustainability issues in urban transportation systems. I am particularly interested in integrating advances in machine learning into human mobility modeling, agent-based simulation, and intelligent transportation systems.
Interests/Experience
- Areas of Interest: Buildings and cities, Transportation, Hybrid physical models, Reinforcement learning and control, Time-series analysis
- Areas of Experience: Transportation, Reinforcement learning and control, Time-series analysis
Seeking/Offering
- Seeking: Research collaborations
- Offering: Mentorship, Research collaborations
Contact
- Location: Montreal, QC, Canada
- Email: lijun.sun@mcgill.ca
- Website: https://lijunsun.github.io/
- Twitter URL: https://twitter.com/lijunsun0
- LinkedIn URL: https://www.linkedin.com/in/lijun-sun-8101a716/
Peter Oseghale Ohue (University of Ibadan)
Short Bio
I am a computational statistics Ph.D. student. In order to understand socio-economic phenomena, I describe causal inference using graph machine learning. I am also developing conversational AI and machine translation using various types of data, including climate data. I am interested in the nexus of econometrics, machine learning, and cyber security.
Interests/Experience
- Areas of Interest: Climate and Earth science, Policy, Causal and Bayesian methods, Generative modeling, Natural language processing, Unsupervised and semi-supervised learning
- Areas of Experience: Disaster prediction, management, and relief, Policy, Causal and Bayesian methods, Generative modeling
- Additional details: Probabilistic Graphical Modelling
Seeking/Offering
- Seeking: Employment opportunities, Funding, Internships, Research collaborations
- Offering: Mentorship
Contact
- Location: Nigeria
- Email: perohue101@gmail.com
- Website: https://sites.google.com/view/peter-ohue
- Twitter URL: https://twitter.com/peter_ohue
- LinkedIn URL: https://www.linkedin.com/in/peter-ohue
- Circle URL: https://community.climatechange.ai/home
Hua Cai (Purdue University)
Short Bio
I'm an Associate Professor at Purdue University. My research interests include data-driven system modeling and optimization, environmental implications of emerging technologies, the sustainability of the internet-of-things, complex adaptive systems, and decision making for sustainable consumptions.
Interests/Experience
- Areas of Interest: Behavioral and social science, Buildings and cities, Climate justice, Policy, Power and energy, Transportation, Classification, regression, and supervised learning, Data mining, Generative modeling, Natural language processing, Reinforcement learning and control, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Buildings and cities, Transportation, Data mining, Generative modeling
Seeking/Offering
- Seeking: Research collaborations
- Offering: Data, Mentorship, Networking, Research collaborations
Contact
- Location: USA
- Email: huacai@purdue.edu
- Website: https://engineering.purdue.edu/uSMART
- LinkedIn URL: https://www.linkedin.com/in/caihua/
Eirini Malliaraki (Deep Science Ventures)
Short Bio
I'm head of founder community at Deep Science Ventures. Since 2014, I have developed new projects, products and programmes across academia, industrial research labs, national research centres and startups. Before DSV, I was the founder of the award-winning, VC backed education tech startup Filisia. More recently, I oversaw project development on AI for Climate Action at the Alan Turing Institute. I have also worked as a researcher at the Morphological Computation Lab at Imperial College, Microsoft Research, and Nesta. I hold a joint MA/MSc in Innovation Design Engineering from Imperial College London and the Royal College of Art.
Interests/Experience
- Areas of Interest: Behavioral and social science, Buildings and cities, Climate and Earth science, Ecosystems and natural resources, Policy, Power and energy, Societal adaptation, Active learning, Natural language processing, Unsupervised and semi-supervised learning
- Areas of Experience: Climate and Earth science, Climate finance, Ecosystems and natural resources, Policy, Power and energy
Seeking/Offering
- Seeking: Mentorship, Networking, Research collaborations
- Offering: Mentorship, Pro-bono consulting, Research collaborations
Contact
- Email: eirinimalliaraki@gmail.com
- Website: https://emalliaraki.com/
- Twitter URL: https://twitter.com/irinimalliaraki
- LinkedIn URL: https://www.linkedin.com/in/eirinimalliaraki/
Rufai Yusuf Zakari (Universiti Brunei Darussalam)
Short Bio
As an aspiring Data Scientist currently pursuing a Ph.D. in the School of Digital Science at Universiti Brunei Darussalam, my research interests lie in the fields of Forest Aboveground Biomass and Carbon Sequestration, with a focus on incorporating sustainable climate change practices.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Forestry and other land use, Classification, regression, and supervised learning, Computer vision and remote sensing
- Areas of Experience: Carbon capture and sequestration, Forestry and other land use, Classification, regression, and supervised learning, Computer vision and remote sensing
Seeking/Offering
- Seeking: Data, Employment opportunities, Funding, Internships, Mentorship, Research collaborations
Contact
- Location: Brunei Darussalam
- Email: rufaig6@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/yusuf-rufai/
Ding Ning (University of Canterbury)
Short Bio
I am a PhD candidate in Computational and Applied Mathematics at the University of Canterbury. My work is on machine learning for forecasting spatiotemporal anomalies and its applications to the climate domain.
Interests/Experience
- Areas of Interest: Unsupervised and semi-supervised learning, Data mining, Classification, regression, and supervised learning, Time-series analysis, Climate and Earth science, Computer vision and remote sensing
- Areas of Experience: Data mining, Classification, regression, and supervised learning, Climate and Earth science
Seeking/Offering
- Seeking: Employment opportunities, Networking, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Location: Christchurch, New Zealand
- Email: ding.ning@pg.canterbury.ac.nz
- LinkedIn URL: https://www.linkedin.com/in/ding-ning
Abdullah Akhtar
Short Bio
I am the student of environmental sciences and currently working on environmental models
Interests/Experience
- Areas of Interest: Climate justice, Data mining, Carbon capture and sequestration, Climate and Earth science, Climate finance, Computer vision and remote sensing
Seeking/Offering
- Seeking: Networking, Mentorship, Lacuna Fund Collaborations, Data, Employment opportunities, Internships, Research collaborations, Startup co-founder, Funding
Contact
- Location: Pakistan
- Email: Abdullahakhtar265@yahoo.com
- Twitter URL: https://x.com/Abdulla50730198?t=CZ2pFXQiqMUTgyVAAZqQMw&s=09
- LinkedIn URL: https://www.linkedin.com/in/abdullah-akhtar-558b35257
Santonu Goswami (Indian Space Research Organization)
Short Bio
I am senior scientist with the National Remote Sensing Centre - ISRO and based in Hyderabad, India. My work is in understanding the various ecosystem processes such as coastal ecosystem dynamics, permafrost landscape dynamics using a data-driven approach using traditional remote sensing methods as well as leveraging the power of Artificial Intelligence in finding newer insights. I am open for collaborations and discuss about exciting ideas of mutual interests.
Interests/Experience
- Areas of Interest: Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Natural language processing, Reinforcement learning and control, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Agriculture, Buildings and cities, Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Hybrid physical models, Natural language processing, Reinforcement learning and control, Time-series analysis, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Networking, Research collaborations, Startup co-founder
- Offering: Mentorship, Research collaborations, Pro-bono consulting
Contact
- Email: santonu@gmail.com
- Twitter URL: https://twitter.com/ClimateResearch
- LinkedIn URL: https://www.linkedin.com/in/santonugoswami/
Greg Gerber (Quora)
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Ecosystems and natural resources, Forestry and other land use, Transportation, Reinforcement learning and control, Time-series analysis
- Areas of Experience: Classification, regression, and supervised learning, Natural language processing, Time-series analysis
Seeking/Offering
- Seeking: Mentorship, Networking
- Offering: Mentorship, Networking
Contact
- Location: Colorado Springs, CO
- Email: gregory.a.gerber@gmail.com
- Twitter URL: https://twitter.com/RockyMtnGGerber
- LinkedIn URL: https://www.linkedin.com/in/gregoryagerber
- Circle URL: https://community.climatechange.ai/u/56101d31
Thomas Landrain (Just One Giant Lab)
Short Bio
Cofounder and CEO of JOGL (Just One Giant Lab)
Interests/Experience
- Areas of Interest: Carbon capture and sequestration
- Areas of Experience: Carbon capture and sequestration
Contact
- Location: Paris
- Website: https://jogl.io
Jack Lynch (NC State University / Masterful AI)
Short Bio
I'm an undergraduate and machine learning engineer interested in the application of domain adaptation and unsupervised learning to geospatial machine learning.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Computer vision and remote sensing, Generative modeling, Interpretable ML, Natural language processing, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Computer vision and remote sensing, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Data, Mentorship, Networking, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Email: jmlynch3@ncsu.edu
- Website: https://errata.substack.com
- Twitter URL: https://twitter.com/_lychrel
- LinkedIn URL: https://www.linkedin.com/in/lychrel
Jerry Chen (University of Cambridge)
Short Bio
PhD candidate working on causal machine learning, spatial econometrics, and epidemiology.
Interests/Experience
- Areas of Interest: Policy, Societal adaptation, Interpretable ML, Time-series analysis
- Areas of Experience: Behavioral and social science, Buildings and cities, Causal and Bayesian methods
Contact
- Location: United Kingdom
- Email: jc2205@cam.ac.uk
- Twitter URL: https://twitter.com/jerchenn
- LinkedIn URL: https://www.linkedin.com/in/jchenn/
Andrew Williams (Mila)
Short Bio
Machine learning PhD student interested in climate change, economics, multi-agent reinforcement learning, agent-based modelling and interaction.
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate finance, Industry, Policy, Human-computer Interaction, Reinforcement learning and control
- Areas of Experience: Behavioral and social science, Reinforcement learning and control
- Additional details: Interested in collaborations across academia, policy and industry, as well as how to use multi-agent reinforcement learning to help solve high-impact problems
Seeking/Offering
- Seeking: Mentorship, Research collaborations
- Offering: Mentorship, Networking, Research collaborations
- Additional details: Always up for a quick chat if my current bandwidth allows :)
Contact
- Location: Montreal
- Email: andrew.williams@mila.quebec
Ivel Sestopal
Short Bio
Recent graduate from International Relations with high passion and interest in sustainable development and climate justice. Capable to effectively analyze socio-economical, cultural and political factors. Experience with research for the creation of successful policy papers
Interests/Experience
- Areas of Interest: Behavioral and social science, Buildings and cities, Climate justice, Policy, Societal adaptation, Transportation
- Areas of Experience: Buildings and cities, Climate justice
Seeking/Offering
- Seeking: Employment opportunities, Internships, Networking, Research collaborations
- Offering: Research collaborations
Contact
- Location: Mexico, Remote
- Email: ivelsestopal@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/ivel-sestopal-ba938b206/
Akshay Suresh (Freelance AI Researcher)
Interests/Experience
- Areas of Interest: Computer vision and remote sensing, Reinforcement learning and control, Time-series analysis
- Areas of Experience: Classification, regression, and supervised learning, Data mining, Time-series analysis
Seeking/Offering
- Seeking: Employment opportunities, Internships, Mentorship
- Offering: Research collaborations
Contact
- Location: India
- Email: akshay721@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/akshaysureshas1
Hubert Kanyamahanga (ICRISAT)
Short Bio
A data-driven engineer who showcase himself as a keen learner. Enthusiastic about building fault-tolerant and robust data engineering pipelines. I have a keen interest towards analyzing data for pattern recognition and identification of interesting information. Venturing into this area further, I wish to utilize modern automated systems and machine learning techniques to help companies achieve their business success and become more profitable. Currently, I am working at ICRISAT as a Scientific Officer: Artificial Intelligence engineer to help the institution grow and evolve in providing profitable solutions/services in the agriculture sector.
Contact
- Location: Dakar
- Email: hubakanye20@gmail.com
Martin Röck (KU Leuven)
Short Bio
I'm a built environment researcher focused on environmental modelling of buildings and building stocks using life cycle-based assessment methods. I have been working on a joint effort to compile data on life cycle emissions of buildings and would be glad to find partners in this community for exploring it further!
Interests/Experience
- Areas of Interest: Climate and Earth science, Classification, regression, and supervised learning, Uncertainty quantification and robustness
- Areas of Experience: Buildings and cities, Industry, Policy
- Additional details: Much of my research focuses on the assessment of 'embodied impacts' of buildings, i.e. environmental impacts (GHG emissions, etc) related to construction material processing (production, transport, end-of-life treatment). Embodied GHG emission are a hidden challenge for effective climate change mitigation in buildings and cities, as we could show in earlier research.
Seeking/Offering
- Seeking: Funding, Research collaborations
- Offering: Data, Research collaborations
Contact
- Location: Cologne, Germany
- Website: https://linktr.ee/martinroeck
- Twitter URL: https://twitter.com/martinroeck_
- LinkedIn URL: https://www.linkedin.com/in/martinroeck/
- Circle URL: https://community.climatechange.ai/u/d94c9b1b
Maximilian Rossi (Google Cloud Sustainability via Chesamel )
Short Bio
B2B Sustainability Marketing Consultant specialising in Cloud Technology and Sustainable Business Transformation (Data & AI)
Interests/Experience
- Areas of Interest: Agriculture, Buildings and cities, Climate and Earth science, Climate finance, Industry, Power and energy, Transportation
- Areas of Experience: Buildings and cities, Power and energy, Transportation
- Additional details: Sustainability Marketing, Cloud Sustainability
Seeking/Offering
- Seeking: Paid consulting
- Offering: Employment opportunities, Mentorship, Networking, Startup co-founder
- Additional details: Sustainability Marketing consulting
Contact
- Location: United Kingdom
- Email: max.r@chesamel.com
- Website: https://maximilianrossi.net/
- LinkedIn URL: https://www.linkedin.com/in/maximilian-rossi/
OMER EISA HAMID KHALIFA (PhD researcher at Sungkyunkwan University South Korea)
Short Bio
Hello everyone I'm Sudanese, a PhD researcher at Sungkyunkwan university in South Korea, my research field including but not limited to (water resources engineering, remote sensing and geospatial analysis, deep learning for flood modelling, satellite image semantic segmentation for classification, hydraulic modeling, flood control, stream, and river design) Thank you very much. Working together we can adapt to climate change.
Contact
- Location: South Korea
- Email: khalifaomer@g.skku.edu
Gilbert BISENGO
Short Bio
Bisengo Gilbert is a dedicated Climate Change advocate committed to raising awareness and inspiring action to combat the global climate crisis. With a passion for environmental sustainability, Bisengo works tirelessly to mobilize communities and promote eco-friendly practices. Through advocacy, education, and grassroots initiatives, Bisengo strives to empower individuals to become agents of change in the fight against climate change. With a belief in the power of collective action, Bisengo is driven to create a greener, more sustainable future for all.
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate and Earth science, Disaster prediction, management, and relief
- Areas of Experience: Behavioral and social science
- Additional details: Greetings, I am Bisengo Gilbert, a fervent advocate for climate action with a deep-rooted belief in the urgency of addressing the pressing challenges posed by climate change. My journey as a climate advocate began with a profound realization of the interconnectedness between human activities and the health of our planet. Witnessing firsthand the devastating impacts of environmental degradation on vulnerable communities ignited a passion within me to become an agent of change. My approach to climate advocacy is multifaceted and dynamic. I engage in a variety of activities ranging from grassroots organizing to policy advocacy, aiming to foster meaningful change at both local and global levels. Whether I'm collaborating with local communities to implement sustainable practices, lobbying policymakers for stronger environmental regulations, or leveraging digital platforms to raise awareness, my goal remains constant: to catalyze action towards a more sustainable future. Education is at the core of my advocacy efforts. I believe that informed individuals are empowered individuals. Thus, I dedicate myself to spreading knowledge about climate science, the impacts of climate change, and actionable steps that individuals and communities can take to mitigate and adapt to its effects. By fostering a culture of environmental stewardship and promoting eco-conscious behaviors, I aim to inspire others to join the collective effort in combating climate change. As a climate advocate, I recognize the importance of inclusivity and diversity in the environmental movement. I actively work to amplify the voices of marginalized communities disproportionately affected by environmental injustices, ensuring that their perspectives and needs are central to discussions and decision-making processes. My journey as a climate advocate is fueled by hope and determination. Despite the formidable challenges we face, I firmly believe in the power of collective action to drive positive change. Together, we can build a more resilient and sustainable world for current and future generations. Let us unite in our commitment to protect our planet and secure a brighter future for all. Thank you for joining me on this transformative journey towards climate justice. Warm regards, Bisengo Gilbert
Seeking/Offering
- Seeking: Employment opportunities, Networking, Research collaborations
- Additional details: Greetings, I am Bisengo Gilbert, a fervent advocate for climate action with a deep-rooted belief in the urgency of addressing the pressing challenges posed by climate change. My journey as a climate advocate began with a profound realization of the interconnectedness between human activities and the health of our planet. Witnessing firsthand the devastating impacts of environmental degradation on vulnerable communities ignited a passion within me to become an agent of change. My approach to climate advocacy is multifaceted and dynamic. I engage in a variety of activities ranging from grassroots organizing to policy advocacy, aiming to foster meaningful change at both local and global levels. Whether I'm collaborating with local communities to implement sustainable practices, lobbying policymakers for stronger environmental regulations, or leveraging digital platforms to raise awareness, my goal remains constant: to catalyze action towards a more sustainable future. Education is at the core of my advocacy efforts. I believe that informed individuals are empowered individuals. Thus, I dedicate myself to spreading knowledge about climate science, the impacts of climate change, and actionable steps that individuals and communities can take to mitigate and adapt to its effects. By fostering a culture of environmental stewardship and promoting eco-conscious behaviors, I aim to inspire others to join the collective effort in combating climate change. As a climate advocate, I recognize the importance of inclusivity and diversity in the environmental movement. I actively work to amplify the voices of marginalized communities disproportionately affected by environmental injustices, ensuring that their perspectives and needs are central to discussions and decision-making processes. My journey as a climate advocate is fueled by hope and determination. Despite the formidable challenges we face, I firmly believe in the power of collective action to drive positive change. Together, we can build a more resilient and sustainable world for current and future generations. Let us unite in our commitment to protect our planet and secure a brighter future for all. Thank you for joining me on this transformative journey towards climate justice. Warm regards, Bisengo Gilbert
Contact
- Location: Rwanda
- Email: dawnineza@gmail.com
- LinkedIn URL: https://linkedin.com/bisengogilbert
George Sideratos (National Technical University of Athens)
Short Bio
George Sideratos was born in Chios, Greece in 1976. He received Electrical and Computer Engineering degree from the National Technical University of Athens (NTUA), Athens, in 2002, the Ph.D. degree in electrical engineering from NTUA, in 2010 on wind power forecasting. He is currently a senior researcher in the Power System laboratory of NTUA. His research interests include wind power and load forecasting and artificial intelligence techniques.
Interests/Experience
- Areas of Interest: Power and energy, Classification, regression, and supervised learning, Time-series analysis, Uncertainty quantification and robustness
- Areas of Experience: Power and energy
- Additional details: Machine learning/ AI /Deep learning Timeseries analysis/modelling MLops AWS cloud service
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Paid consulting
Contact
- Location: Athens
- LinkedIn URL: https://www.linkedin.com/in/george-sideratos-a95ab25/?lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BYti9kX57T3mIdk96hRiLIg%3D%3D
akshara kaginalkar (former senior director at C-DAC India)
Short Bio
Till recently I was working as Senior Director in HPC Sc & Eng Applications group of C-DAC India. My major work involved supercomputing applications in weather, climate, and environment. I have developed last mile weather applications and decision support system in agriculture, energy, navy, and air quality. I have led a consortia program to develop an integrated urban environment modeling (weather, air quality and flood) and big data services program for Indian smart cities.
Interests/Experience
- Areas of Interest: Buildings and cities, Climate and Earth science, Disaster prediction, management, and relief, Data mining, Time-series analysis
- Areas of Experience: Disaster prediction, management, and relief
- Additional details: scientific climate data to societal useful information translation cross sector data analysis using machine learning
Seeking/Offering
- Seeking: Employment opportunities, Internships, Paid consulting
Contact
- Location: Pune India and Singapore
- Email: akaginalkar@yahoo.com
Muskan Irfan (University of Management and Technology, Sialkot, Pakistan. )
Short Bio
Biotechnologist | Researcher | Tech-Enthusiast
Interests/Experience
- Areas of Interest: Generative modeling, Human-computer Interaction
- Areas of Experience: Ecosystems and natural resources, Power and energy, Transportation
Seeking/Offering
- Seeking: Internships, Mentorship, Research collaborations
- Offering: Research collaborations
Contact
- Location: Sialkot
- Email: irfanmuskan656@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/muskan-irfan29?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app
Abdullahi Uba Ayuba (Bayero University Kano )
Short Bio
I'm currently an undergraduate final year student studying Bsc computer science at Bayero University Kano, Nigeria. Passionate about tech and climate change, also a student who is always keen to learn new skills and expertise from experienced people.
Contact
Konstantin Klemmer (University of Warwick, NYU)
Short Bio
PhD student in geospatial machine learning, core team member at CCAI
Interests/Experience
- Areas of Interest: Hybrid physical models, Unsupervised and semi-supervised learning, Disaster prediction, management, and relief, Climate and Earth science
- Areas of Experience: Generative modeling, Classification, regression, and supervised learning, Computer vision and remote sensing, Buildings and cities, Transportation
- Additional details: Geospatial machine learning, spatio-temporal machine learning, GeoAI, Urban informatics
Seeking/Offering
- Seeking: Employment opportunities, Academic positions
- Offering: Networking, Mentorship, Research collaborations
Contact
- Email: k.klemmer@warwick.ac.uk
- Website: https://konstantinklemmer.github.io/
- Twitter URL: https://twitter.com/kklmmr
- LinkedIn URL: https://www.linkedin.com/in/konstantinklemmer/
- Circle URL: https://community.climatechange.ai/u/40ff88cd
Csaba Bán (Bosch, ADAS Software Engineer)
Short Bio
I'm a graduate physicsist who works in the automotive industry as a software engineer for advanced driver assictance systems. One of my hobbies is deep learning.
Interests/Experience
- Areas of Interest: Behavioral and social science, Buildings and cities, Climate and Earth science, Climate finance, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Industry, Power and energy, Transportation, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Natural language processing, Recommender systems, Reinforcement learning and control, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Transportation, Causal and Bayesian methods, Classification, regression, and supervised learning, Data mining, Time-series analysis
- Additional details: I'm a graduate physicsist who works in the automotive industry as a software engineer for advanced driver assictance systems. One of my hobbies is deep learning. I have experience with deep learning for image classification, time series datas, Bayesien classification methods, web-scraping and willing to learn mor about other deepl learning areas with a special interest in reinforcement learning.
Seeking/Offering
- Seeking: Data, Employment opportunities, Mentorship, Networking
Contact
- Email: bancsaba1989@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/csaba-ban-7100bb126/
David Rojas Rueda (Colorado State University)
Interests/Experience
- Areas of Interest: Behavioral and social science
- Areas of Experience: Climate justice
- Additional details: Public health Planetary health
Seeking/Offering
- Seeking: Data, Funding, Lacuna Fund Collaborations, Paid consulting, Research collaborations
- Offering: Research collaborations
Contact
- Location: United States
- Email: david.rojas@colostate.edu
- Website: https://www.rojaslab.org/
- Twitter URL: https://x.com/drrbcn
- LinkedIn URL: https://www.linkedin.com/in/david-rojas-rueda-14180b13
Luis Gerardo Carvajal (Siemens Energy)
Short Bio
Sustainability Operations Specialist for Mexico, Central America and the Caribbean and Venture Architect at Siemens Energy. Mentor on innovation and entrepreneurship topics for startups in climate tech. Environmental activist, speaker, workshop leader, technologist, engineer and digital artist. Involved in environmental education and sustainable technological innovation.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate and Earth science, Climate finance, Ecosystems and natural resources, Forestry and other land use, Industry, Power and energy, Societal adaptation, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Human-computer Interaction, Interpretable ML, Natural language processing, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Climate and Earth science, Climate finance, Industry, Power and energy, Societal adaptation, Classification, regression, and supervised learning, Computer vision and remote sensing, Time-series analysis, Unsupervised and semi-supervised learning
- Additional details: I also have interest and experience in the following topics:
Seeking/Offering
- Seeking: Networking, Lacuna Fund Collaborations, Employment opportunities, Research collaborations
- Offering: Data, Mentorship, Networking, Paid consulting, Pro-bono consulting, Startup co-founder
- Additional details: I have been startup mentor for multiple years. I'm happy to support as a mentor in projects from the technical, business, strategy and market analysis perspectives. I also can happily contribute in consulting opportunities as an expert in climate action and sustainability.
Contact
- Location: Puebla, Mexico
- LinkedIn URL: https://www.linkedin.com/in/luisgerardocarvajal/
- Circle URL: https://community.climatechange.ai/u/c0fd5c4f
Xikun Hu (KTH Royal Institute of Technology )
Short Bio
Ph.D. student working on supervised learning for satellite images, especially on semantic segmentation. Research interest includes active fire detection, burned area detection, and burn severity assessment.
Interests/Experience
- Areas of Interest: Climate and Earth science, Disaster prediction, management, and relief, Computer vision and remote sensing
- Areas of Experience: Disaster prediction, management, and relief, Forestry and other land use
Seeking/Offering
- Seeking: Research collaborations
Contact
- Location: Sweden
- Email: xikun@kth.se
KPOGNON Yaovi Ricardo
Short Bio
I have a degree in Environmental Science with a specialization in forests and climate change. Throughout my academic and professional journey, I have gained in-depth skills in understanding (i) forest landscape restoration (ii) sustainable forest and land management, carbon mechanisms, and carbon sinks (iii) environmental management (iv) adaptation to climate change, biodiversity conservation, and ecosystem services. I bring together a strong background in climate change adaptation, forestry, and environmental sciences with significant practical experience in environmental management, environmental and social impact assessment, environmental monitoring, environmental statistics, and climate change response. These skills make me well-equipped to tackle the complex challenges related to environmental preservation and sustainability. During my studies, I completed practical internships at the National Agency for Environmental Management (ANGE) focusing on environmental management, applying in-depth knowledge in biology and the environment to address crucial environmental issues. These internships included specific missions in environmental management and environmental and social impact assessment. This demonstrates expertise in analyzing the environmental impacts of human activities, as well as my ability to evaluate and mitigate these impacts in a socially responsible manner. Additionally, I have been involved in projects related to: (i) Quality, Health, Safety, and Environment (QHSE) (ii) environmental monitoring and information, showcasing my ability to set up monitoring systems to assess environmental parameters over time. (iii) Writing TOR, EIA, CCE, and project development and environmental reports (iv) Environmental audits, ESMF (Environmental and Social Management Framework), and RPF (Risk Management Plan) These skills are crucial for effective ecosystem management and a proactive response to environmental changes. My involvement in climate change-related activities reflects my awareness of contemporary environmental challenges. I have been engaged in projects aimed at understanding and mitigating the effects of climate change, demonstrating my commitment to sustainable practices and environmental preservation.
Interests/Experience
- Areas of Interest: Climate and Earth science
- Areas of Experience: Carbon capture and sequestration
Seeking/Offering
- Seeking: Internships, Mentorship, Networking
- Offering: Internships
Contact
- Email: ricardokpognon2000@gmail.com
- Twitter URL: https://x.com/KpognonRicardo?s=08
- LinkedIn URL: https://www.linkedin.com/in/ricardo-kpognon-aab4a1218/
Jean Claude Akarikumutima (Faminga)
Contact
- Location: Rwanda
- Email: akariclaude@gmail.com
- Website: https://ihinga.com/
Sebastian Romero (Tracks GmbH)
Short Bio
Technical product manager, tree-hugger, data scientist, in love with mama earth
Interests/Experience
- Areas of Interest: Climate justice, Computer vision and remote sensing, Interpretable ML
Contact
- Location: Berlin
- Email: tianfut@gmail.com
- Twitter URL: https://twitter.com/tianfut
- LinkedIn URL: https://www.linkedin.com/in/sebastian-romero-/
Ali Akbar Rezazadeh (Sharif University of Technology)
Interests/Experience
- Areas of Interest: Buildings and cities, Industry, Power and energy, Societal adaptation, Transportation, Classification, regression, and supervised learning, Data mining, Time-series analysis
Contact
- Location: Iran
- Email: aliakrezazadeh@gmail.com
Ganesh (Princeton University)
Interests/Experience
- Areas of Interest: Climate justice, Policy, Power and energy
- Areas of Experience: Climate justice, Policy, Power and energy
Seeking/Offering
- Seeking: Data, Employment opportunities, Funding, Research collaborations
- Offering: Networking, Paid consulting, Research collaborations
Contact
- Location: Princeton
- Email: ganeshhegde@princeton.edu
Qianqian Zhang (Tsinghua University)
Short Bio
I love computer science and technology and big data technology, trying to be a highly recognized researcher by studying human complex behavior, psychological information, global change impacts, and other massive data.
Interests/Experience
- Areas of Interest: Climate and Earth science
- Areas of Experience: Computer vision and remote sensing, Data mining
- Additional details: With my solid professional quality, I will deeply sense the social ecosystem and contribute to social data research. Currently, I am an early career researcher. My research interests include the High-performance Application of Earth Observation(HPAEO).
Seeking/Offering
- Seeking: Research collaborations
Contact
- Location: Beijing,China
- Email: cauqqzhang@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/qianqian-zhang-1a42b712a/
Alex Kell (Imperial College London)
Short Bio
Alex is a Research Associate who specialises in long term energy scenarios. Alex has expertise in agent based modelling and machine learning applied to energy markets around the world.
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate finance, Policy, Power and energy, Reinforcement learning and control, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Behavioral and social science, Policy, Power and energy, Reinforcement learning and control, Time-series analysis
Seeking/Offering
- Seeking: Networking, Paid consulting, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Email: a.kell@imperial.ac.uk
- Website: http:/www.alexanderkell.co.uk
- Twitter URL: http://www.twitter.com/alexanderkell_
- LinkedIn URL: https://www.linkedin.com/mwlite/in/alexander-kell-6112756b
Jean Paul Maalouf (Freelance)
Short Bio
I am a freelance data science consultant, with a particular focus on education and communication. I defended a PhD in ecology in 2012. I studied the effect of extreme climate droughts on biodiversity. And I’ve been working in data since then. Throughout my career, I’ve had the opportunity to collaborate with members of multiple sectors and research institutes. I constantly draw inspiration from reading, art and meeting people.
Interests/Experience
- Areas of Interest: Agriculture, Behavioral and social science, Ecosystems and natural resources, Societal adaptation
- Areas of Experience: Ecosystems and natural resources, Classification, regression, and supervised learning, Data mining, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Networking
Contact
- Location: Bordeaux, France
- LinkedIn URL: https://www.linkedin.com/in/jean-paul-maalouf/
- Circle URL: https://community.climatechange.ai/u/d9d4605c
Hari Prasanna Das (UC Berkeley)
Short Bio
PhD Candidate at UC Berkeley working on Deep Generative Modeling and its applications in Smart Buildings.
Interests/Experience
- Areas of Interest: Buildings and cities
- Areas of Experience: Buildings and cities
Seeking/Offering
- Seeking: Research collaborations
- Offering: Research collaborations
Contact
- Email: hpdas@berkeley.edu
- Website: http://hariprasanna.com/
MEIYI LI (UT Austin)
Contact
- Location: Austin
- Email: meiyil@utexas.edu
- Website: https://scholar.google.com/citations?authuser=1&user=vYnoysMAAAAJ
- LinkedIn URL: https://www.linkedin.com/in/meiyi-li-power/
Al Karaki
Short Bio
Large scale innovator and entrepreneur providing insight, innovation and implementation services for projects that impact positive benefits towards people's lives
Interests/Experience
- Areas of Interest: Agriculture, Buildings and cities, Carbon capture and sequestration, Climate finance, Ecosystems and natural resources, Forestry and other land use, Power and energy
- Areas of Experience: Agriculture, Buildings and cities, Carbon capture and sequestration, Ecosystems and natural resources, Forestry and other land use, Power and energy
- Additional details: Well established Japanese Canadian in Africa providing solutions on a number of sectors: energy, education, tourism, youth, climate change, etc
Seeking/Offering
- Seeking: Lacuna Fund Collaborations
- Additional details: GlobalGrow - considered to be the largest, most cost effective and the best NBS - Nature Based Solution to remove billions (not millions) of tons of CO2 from our atmosphere beyond the IPCC recommendations and timelines seeks AI intervention.
Contact
- Location: Africa
- Email: karaki@gmail.com
- Website: https://bit.ly/AlKaraki2022Profile3
- LinkedIn URL: https://www.linkedin.com/in/alkaraki
- Circle URL: https://community.climatechange.ai/u/898adfcb
Jakob Heller (deeeper.technology GmbH)
Short Bio
Machine Learning professional with a strong interest in remote sensing. Executive to a company that tracks land cover change with remote sensing down to submeter resolution.
Interests/Experience
- Areas of Interest: Ecosystems and natural resources, Forestry and other land use
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing, Unsupervised and semi-supervised learning
- Additional details: deeeper.technology gathers large datasets for land cover and its change down to submeter resolution.
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Networking, Paid consulting
Contact
- Email: Jakob.Heller@deeeper-technology.de
- Website: http://deeeper-technology.de
- LinkedIn URL: https://www.linkedin.com/in/jakob-heller-937438113/
Nicholas Hughes
Short Bio
Product manager-turned-quant enabling technical solutions to environmental challenges.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate and Earth science, Climate finance, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Power and energy, Societal adaptation, Classification, regression, and supervised learning, Computer vision and remote sensing, Interpretable ML, Meta- and transfer learning, Recommender systems, Time-series analysis
- Areas of Experience: Active learning, Causal and Bayesian methods, Classification, regression, and supervised learning, Natural language processing, Time-series analysis, Uncertainty quantification and robustness
Seeking/Offering
- Seeking: Employment opportunities, Internships, Mentorship, Networking, Paid consulting, Pro-bono consulting, Research collaborations, Startup co-founder
- Additional details: Seeking opportunities and spaces to apply ML/AI to climate centric challenges. Currently looking for employment and keeping busy with challenges in the mean time.
Contact
- Location: USA
- LinkedIn URL: https://www.linkedin.com/in/hicknughes/
Hyunggyu Lim (Princeton University / NOAA-GFDL)
Short Bio
Marine BGC-climate interaction, Postdoc Princeton-AOS / NOAA-GFDL, PhD in Climate Dynamics, MS in Environmental Marince science / he,his, S. Korean
Interests/Experience
- Areas of Interest: Climate and Earth science
- Areas of Experience: Climate and Earth science
- Additional details: Earth system modeling, marine biogeochemistry
Contact
- Location: NJ, US
- Email: hyunggyu@princeton.edu
- Website: https://sites.google.com/view/hglim/home
- Twitter URL: https://twitter.com/hglim01
Vivek Pandit (Microsoft)
Interests/Experience
- Areas of Interest: Climate and Earth science, Power and energy, Classification, regression, and supervised learning, Natural language processing, Reinforcement learning and control
- Areas of Experience: Classification, regression, and supervised learning, Reinforcement learning and control
Contact
- Location: Berkeley, CA
- Email: vivekpandit0108@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/vivek-pandit/
Mark Codling (The University of the West Indies - St. Augustine )
Short Bio
PhD GeoInformatic/GeoAI Candidate at the University of the West Indies St. Augustine with comprehensive knowledge in the technical and administrative operations of Government at the senior management and technical level. Gained significant expertise in implementing sustainable development projects across several public and private sector organizations in Jamaica, New Zealand, and the Caribbean, specifically in the areas of disaster risk management & electric utility, road-based transportation, land management and environment.
Interests/Experience
- Areas of Interest: Buildings and cities, Climate and Earth science, Hybrid physical models
- Areas of Experience: Climate and Earth science, Power and energy, Transportation
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Networking
Contact
- Location: Country other than US or CA
- Email: markcodlingjm@gmail.com
- Twitter URL: https://twitter.com/Mark_Codling
- LinkedIn URL: https://www.linkedin.com/in/mark-codling-19669828/
Carolina Soriano
Short Bio
- Bachelor in Forest engineer - Master in Applied Ecology - Post Graduation in Environment and Climate Change - MBA in Data science and Analytics
Interests/Experience
- Areas of Interest: Climate and Earth science, Climate finance, Forestry and other land use
- Areas of Experience: Carbon capture and sequestration, Climate and Earth science, Climate finance
Seeking/Offering
- Seeking: Data, Mentorship, Networking, Paid consulting
Contact
- Email: caroltgs@hotmail.com
- LinkedIn URL: https://www.linkedin.com/in/carolsustentabilidadegreenbelt/
Stefano (Founder)
Short Bio
Founder of Stratejai an AI strategic consulting firm based in Belgium. We are specialised in developing AI systems and active in AI policy formulation and standardisation. We work across sectors including climate change and energy.
Interests/Experience
- Areas of Interest: Agriculture, Climate and Earth science, Ecosystems and natural resources, Forestry and other land use, Industry, Policy, Computer vision and remote sensing, Generative modeling, Natural language processing, Recommender systems
- Areas of Experience: Agriculture, Climate and Earth science, Industry, Policy, Power and energy, Societal adaptation, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Natural language processing, Recommender systems
- Additional details: -Chief Technical Advisor for UNIDO and member of AIM AI UNIDO Alliance for Manufacturing -Founding member of the Healthcare Data Innovation Council -Member of Standardisation Committee CEN-CENELEC AI JTC 21 -Technology advisor for OPIT -www.opit.com - Online university offering BA on computer science and Master on AI
Seeking/Offering
- Seeking: Networking
- Offering: Mentorship, Networking
- Additional details: I am looking for people interested to use AI for having a positive societal impact in particular in the field of environment and preservation of natural resources.
Contact
- Location: Brussels
- Email: s.sedola@stratejai.com
- Website: https://www.stratejai.com
- LinkedIn URL: https://www.linkedin.com/in/stefano-sedola/
Bruno Adriano (International Research Institute of Disaster Science, Tohoku University)
Short Bio
Bruno Adriano is an associate professor at the International Research Institute of Disaster Science, Tohoku University, and visiting researcher at the Interdisciplinary Graduate School of Science and Technology at the Tokyo Institute of Technology. His research interests include earth observation, machine learning, and high-performance computer simulation technologies with applications to disaster management and environmental monitoring.
Interests/Experience
- Areas of Interest: Disaster prediction, management, and relief
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Research collaborations
- Offering: Data, Employment opportunities
Contact
- Location: Japan
- Email: adriano@irides.tohoku.ac.jp
- Website: https://brunoadriano.com/
- Twitter URL: https://twitter.com/badrianoo1
- LinkedIn URL: https://www.linkedin.com/in/bruno-adriano-734b6342/
Sasha Luccioni (Mila + Université de Montréal)
Short Bio
I am currently a Postdoctoral Researcher at the Mila Institute supervised by Yoshua Bengio, and a Computational Social Scientist at the UN Global Pulse.
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate finance, Societal adaptation, Interpretable ML, Natural language processing
- Areas of Experience: Behavioral and social science, Climate finance, Natural language processing
- Additional details: My goal in research is to contribute towards understanding the data and techniques used for developing Machine Learning approaches, as well as to contribute to the growing field of ‘AI for Good’, applying AI to high-impact societal problems like climate change, health, education, and humanitarian response. Most recently, I have been working on analyzing the data used for training large language models, as well as quantifying the carbon footprint of AI algorithms
Seeking/Offering
- Seeking: Employment opportunities
- Offering: Mentorship, Paid consulting, Research collaborations
Contact
- Website: https://www.sashaluccioni.com/
- Twitter URL: https://twitter.com/SashaMTL
- LinkedIn URL: https://www.linkedin.com/in/alexandraluccioniphd/
Christoph Klemenjak (University of Klagenfurt)
Short Bio
Hello, my name is Christoph. I have spent the past four years working as a research and teaching assistant at the University of Klagenfurt. My research has mainly been related to applying Machine Learning approaches to Energy Disaggregation, also known as Non-Intrusive Load Monitoring. During this time, I demonstrated my ability to meet high expectations, maintain strong attention to detail, and deliver results on time. Besides research, I was given the chance to share knowledge with students in the form of mentoring. How would I describe myself? Nothing excites me more than a good book. I believe in life-long learning. I am a team player. I am curious. Coffee. You are most welcome to contact me. I am currently looking for new job opportunities that not only get me excited but also bear the chance to make an impact.
Interests/Experience
- Areas of Interest: Unsupervised and semi-supervised learning, Meta- and transfer learning, Industry, Societal adaptation
- Areas of Experience: Power and energy, Classification, regression, and supervised learning, Time-series analysis
Seeking/Offering
- Seeking: Academic positions, Employment opportunities
- Offering: Networking, Research collaborations
Contact
- Website: https://about.me/klemenjak
- Twitter URL: https://twitter.com/cklemenjak
- LinkedIn URL: https://www.linkedin.com/in/christoph-klemenjak-861061b3/
- Circle URL: https://community.climatechange.ai/u/07024a48
Luiza Barguil (XPrize Foundation)
Short Bio
As an AI researcher for a couple of decades, I am now conceiving a Green Data Co-Op for both the Biodiversity and Climate ecosystems in Brazil
Interests/Experience
- Areas of Interest: Agriculture, Climate and Earth science, Climate finance, Forestry and other land use, Active learning, Data mining, Interpretable ML, Meta- and transfer learning
Seeking/Offering
- Seeking: Mentorship, Research collaborations, Startup co-founder
- Offering: Data, Employment opportunities, Funding, Internships
Contact
- Location: SP
- Email: luiza@barguil.com.br
- LinkedIn URL: https://www.linkedin.com/in/luizabarguil/
Helen Jackson (ClimateNode)
Short Bio
ClimateNode is a not-for-profit using data science for physical risk intelligence with a current focus on NLP.
Interests/Experience
- Areas of Interest: Climate justice, Societal adaptation, Climate finance, Natural language processing
- Areas of Experience: Policy
- Additional details: I have a professional background in environmental economics/policy and climate finance and an academic background in physics
Seeking/Offering
- Seeking: Networking, Mentorship, Funding
- Offering: Data, Research collaborations
- Additional details: ClimateNode is always looking for opportunities to collaborate with like-minded partners. Please see website for more.
Contact
- Location: Cambridge, UK
- Email: helen@climatenode.org
- Website: https://www.climatenode.org
- Twitter URL: https://twitter.com/HelenJackson0
- LinkedIn URL: https://www.linkedin.com/in/helen-jackson-28926285/
Florin Gogianu (Bitdefender)
Short Bio
I am a PhD student at the Technical University of Cluj-Napoca and researcher at Bitdefender working on Deep Reinforcement Learning.
Interests/Experience
- Areas of Interest: Climate and Earth science, Power and energy, Transportation, Reinforcement learning and control
- Areas of Experience: Active learning, Reinforcement learning and control, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Research collaborations
- Offering: Research collaborations
Contact
- Website: https://bit-ml.github.io/
- Twitter URL: https://twitter.com/FlorinGogianu
Yamine Bouzembrak (WFSR)
Short Bio
AI in food safety
Interests/Experience
- Areas of Interest: Agriculture, Climate and Earth science, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing
- Areas of Experience: Agriculture, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Reinforcement learning and control, Time-series analysis
Seeking/Offering
- Seeking: Funding, Research collaborations
- Offering: Research collaborations
Contact
- Location: NL
- Email: yamine.bouzembrak@wur.nl
- Website: https://www.wur.nl/
- LinkedIn URL: https://www.linkedin.com/in/yamine-bouzembrak-80184811/
Alex (Mila)
Short Bio
I am a postdoctoral researcher at Mila - Quebec Artificial Intelligence Institute, in Tiohtià:ke / Montréal, working with Prof. Yoshua Bengio and Prof. David Rolnick, since December 2020. I research applications of machine learning for accelerating scientific discoveries to fight climate change.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Power and energy, Societal adaptation, Active learning, Classification, regression, and supervised learning, Generative modeling, Unsupervised and semi-supervised learning
- Areas of Experience: Carbon capture and sequestration, Power and energy, Active learning, Classification, regression, and supervised learning, Generative modeling, Unsupervised and semi-supervised learning
- Additional details: Scientific discovery, materials discovery
Seeking/Offering
- Seeking: Research collaborations
- Offering: Internships, Mentorship, Research collaborations
- Additional details: Looking for interns to work at Mila in Montreal on machine learning for scientific discovery.
Contact
- Location: Montreal
- Email: alex.hernandez-garcia@mila.quebec
- Website: https://alexhernandezgarcia.github.io/
- Twitter URL: https://twitter.com/alexhdezgcia
Xerxes Tengra (Neural Alpha)
Contact
- Location: United Kingdom
- Email: xerxes.tengra@neuralalpha.com
Ankit Kumar Upadhyay (JSS Academy of Technical Education)
Short Bio
I am Ankit Upadhyay from India and I am currently starting my fourth year of Undergraduate in Computer Science and Engineering. I am passionate about STEM education, Machine Learning, Deep Learning, Climate Science and overall education in general too! I would love to talk about any of the aforementioned topics.
Interests/Experience
- Areas of Interest: Climate and Earth science, Natural language processing, Unsupervised and semi-supervised learning
- Areas of Experience: Climate and Earth science, Computer vision and remote sensing, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Internships, Mentorship, Research collaborations
Contact
- Location: Bengaluru, India
- Website: https://ankitupadhyay.org/
- Twitter URL: https://twitter.com/AnkitkUpadhyay
- LinkedIn URL: https://www.linkedin.com/in/ankit-kumar-upadhyay-b332b8186/
César Quilodrán-Casas (Department of Earth Science and Engineering, Imperial College London)
Short Bio
Research Associate working on urban air pollution and extreme weather events over South America
Interests/Experience
- Areas of Interest: Buildings and cities, Climate and Earth science, Disaster prediction, management, and relief, Generative modeling, Uncertainty quantification and robustness
- Areas of Experience: Buildings and cities, Disaster prediction, management, and relief
Contact
- Location: London
- Email: c.quilodran@imperial.ac.uk
Kamil Mroczek (Elio Technologies)
Short Bio
CTO/Cofounder @ Elio.earth. Startup junkie now turned his sights on helping with the climate crisis. 2x startup exits as early employee and founder. Computer Scientist focused on big data and ML.
Interests/Experience
- Areas of Interest: Data mining, Natural language processing, Unsupervised and semi-supervised learning
- Areas of Experience: Data mining, Natural language processing
Seeking/Offering
- Seeking: Networking
- Offering: Employment opportunities, Mentorship
Contact
- Location: Irvine, CA
- Twitter URL: https://twitter.com/keyboardpoet
- LinkedIn URL: https://www.linkedin.com/in/kamilmroczek/
Maira Elahi (TIVEA ("Transparent, Integrity-driven, Value-based, Ethical, Accountable"))
Short Bio
Maira Elahi is a Canada-based high school student, researcher, writer, and activist who hopes to major in a combination of computer science and public policy. She's most passionate about using technology, policy, and advocacy to serve her community. Some of her personal endeavours include working as an independent organizer to host film screenings and lead interest groups in her community, app development, partnering with organizations and academic institutions to research how emerging technology can assist disadvantaged groups, and spearheading a team in her city to mobilize and educate students on the intersection of social change and youth. Her commitment to involving youth in high-level decision-making processes and advocating for responsible innovation practices for the people and the planet motivates her on a daily basis.
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate and Earth science, Climate finance, Climate justice, Disaster prediction, management, and relief, Active learning, Human-computer Interaction, Interpretable ML, Natural language processing, Time-series analysis
- Areas of Experience: Behavioral and social science, Buildings and cities, Climate and Earth science, Climate justice, Societal adaptation, Transportation, Computer vision and remote sensing, Human-computer Interaction, Interpretable ML, Natural language processing, Reinforcement learning and control
Seeking/Offering
- Seeking: Data, Internships, Mentorship, Networking, Research collaborations
- Offering: Networking, Research collaborations, Startup co-founder
Contact
- Location: Canada
- Email: elahimaira15@gmail.com
- Website: https://elahimaira.contently.com/
- Twitter URL: https://twitter.com/elahimaira
- LinkedIn URL: https://www.linkedin.com/in/maira-elahi
- Circle URL: https://community.climatechange.ai/u/d03f0024
Guillaume Dumas (University of Montréal)
Short Bio
Guillaume Dumas is an Associate Professor of Computational Psychiatry in the Faculty of Medicine at the Université de Montréal, and the Principal Investigator of the Precision Psychiatry and Social Physiology laboratory at the CHU Sainte-Justine Research Center. He holds the IVADO professorship for “AI in Mental Health” and the FRQS J1 in “AI and Digital Health”, and is an appointed academic member of Mila – Quebec Artificial Intelligence Institute. In 2023, Dumas was recognized as a CIFAR Azrieli Global Scholar in the “Brain, Mind, and Consciousness” program and nominated as a Future Leader in Canadian Brain Research by the Brain Canada Foundation.
Interests/Experience
- Areas of Interest: Behavioral and social science, Ecosystems and natural resources, Policy
- Areas of Experience: Generative modeling, Human-computer Interaction, Hybrid physical models, Time-series analysis, Uncertainty quantification and robustness
- Additional details: Our lab primarily works on the interaction between neuroscience and machine learning, especially social cognition. We are now trying to apply our models to help climate action and public policy.
Seeking/Offering
- Seeking: Funding, Research collaborations
- Offering: Academic positions, Employment opportunities, Internships, Research collaborations
- Additional details: We are starting projects at the crossroads of Neuro-AI, Multi-Agent Reinforcement Learning, and Climate Action.
Contact
- Location: Canada
- Website: https://www.ppsp.team
- Twitter URL: https://x.com/introspection
- LinkedIn URL: https://www.linkedin.com/in/guillaumedumas/
Asmerom Gilau (Epsilon Innovation Group Inc)
Short Bio
Climate resilience data analytics, climate change risk, adaptation and mitigation, energy management, clean energy applications system design, and qualitative and quantitative data analysis for decision-making.
Seeking/Offering
- Seeking: Research collaborations
- Offering: Research collaborations
Contact
- Location: Washington DC
- Website: http://www.epsiloninnovation.com
Marius Wiggert (UC Berkeley)
Short Bio
Hi, I'm Marius and working on applying robotics and control techniques to scale climate action. Currently working on floating seaweed farms with Phykos PBC and exploring other opportunities within this theme.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Ecosystems and natural resources, Power and energy, Computer vision and remote sensing, Reinforcement learning and control
- Areas of Experience: Agriculture, Carbon capture and sequestration, Ecosystems and natural resources, Reinforcement learning and control
Seeking/Offering
- Seeking: Research collaborations, Startup co-founder
- Offering: Mentorship, Paid consulting
Contact
- Location: Berkeley, California, USA
- Twitter URL: https://twitter.com/MariusWiggert
- LinkedIn URL: https://www.linkedin.com/in/marius-wiggert/
- Circle URL: https://community.climatechange.ai/u/9527829f?
Ismael Ocen (Ocean One Social Research Centre)
Short Bio
Experienced Programs Manager and Researcher with lots of experience in conducting Social Research and implementing projects in thematic areas of Human Rights, Education, Health, Climate Change and Livelihood. I am also an expert in Indigenous and Local Knowledge systems with an excellent reputation for resolving problems, improving community social problems, and driving overall operational improvements and efficiency
Interests/Experience
- Areas of Interest: Agriculture, Climate justice, Ecosystems and natural resources, Policy, Computer vision and remote sensing
- Areas of Experience: Agriculture, Climate justice, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Policy, Computer vision and remote sensing
Seeking/Offering
- Seeking: Lacuna Fund Collaborations
- Offering: Networking
Contact
- Location: Uganda
- Email: ismaelocen@yahoo.co.uk
- Twitter URL: https://twitter.com/IsmaelOcen
- LinkedIn URL: https://www.linkedin.com/in/ismael-ocen-b74a7732/
dinesh Kumar Mahto (MNIT Jaipur)
Short Bio
I am pursuing a Ph.D. degree in Electrical Engineering at the Malaviya National Institute of Technology (MNIT) Jaipur India. My research revolves around Data-driven optimal power flow in active distribution network. My academic areas of interest in Data analysis, Machine learning in Smart Grid applications. These days, I am using deep learning algorithms to develop scalable and computation-efficient models for complex networks.
Interests/Experience
- Areas of Interest: Power and energy, Transportation, Classification, regression, and supervised learning, Interpretable ML, Time-series analysis, Uncertainty quantification and robustness
- Areas of Experience: Power and energy, Classification, regression, and supervised learning
Seeking/Offering
- Seeking: Academic positions, Research collaborations
Contact
- Location: Jaipur, India
- Email: 2019ree9535@mnit.ac.in
- Website: https://www.dkmahto.github.io
- Twitter URL: https://twitter.com/dineshshine
- LinkedIn URL: https://www.linkedin.com/in/dinesh-kumar-mahto-587454160/
- Circle URL: https://www.ramanlab.co.in/
Sivaranjani Seetharaman
Short Bio
I am a postdoc in the Department of Electrical and Computer Engineering at Texas A&M University, and an incoming Assistant Professor at the School of Industrial Engineering, Purdue University, starting March ’22. My research interests lie at the intersection of control theory and machine learning for distributed decision making in large-scale cyber-physical-human systems, with applications to transportation networks, power grids, and interdependent infrastructures.
Interests/Experience
- Areas of Interest: Policy, Power and energy, Transportation, Reinforcement learning and control
- Areas of Experience: Power and energy, Transportation, Reinforcement learning and control
Seeking/Offering
- Seeking: Research collaborations
- Offering: Academic positions, Research collaborations
Contact
- Website: https://sivaranjanis.com/
- Twitter URL: https://twitter.com/siva_seethar
Ankur Narang (Sigmoidstar)
Short Bio
Across my 28 years of experience in Technology leadership positions, Research projects and across multiple entrepreneurial stints, I have led Tech and AI efforts in various verticals including Telecom, Social, Gaming, Ecommerce, Media, Education, Electronic Design Automation, Oil & Gas and others. I am interested in solving challenges at the intersection of Deep Tech (AI/Quantum/Blockchain/..) and Climate Change.
Interests/Experience
- Areas of Interest: Climate and Earth science, Power and energy, Transportation, Generative modeling, Meta- and transfer learning, Reinforcement learning and control, Unsupervised and semi-supervised learning
- Areas of Experience: Generative modeling, Meta- and transfer learning, Reinforcement learning and control, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Funding, Networking, Research collaborations, Startup co-founder
- Offering: Mentorship
Contact
- Location: New Delhi
- LinkedIn URL: https://www.linkedin.com/in/dr-ankur-narang-7a791616/
Ajani Ibrahim Tunde
Short Bio
Climate financing
Interests/Experience
- Areas of Interest: Climate finance
- Areas of Experience: Time-series analysis
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Funding, Internships
Contact
- Location: Malaysia
- Email: ajaniibrahimphd@gmail.com
Paul Daniel (OYO)
Short Bio
I'm a Data Scientist working in industry looking to transition into a field where my work can actually have some impact. I would love to use my skills in Data Science & Machine Learning to contribute in some small way to progressing our struggle in fighting Climate Change.
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate and Earth science, Ecosystems and natural resources, Forestry and other land use, Computer vision and remote sensing, Reinforcement learning and control
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing, Interpretable ML, Reinforcement learning and control
Seeking/Offering
- Seeking: Data, Employment opportunities, Networking
- Offering: Mentorship, Networking
Contact
- Location: Copenhagen
- Email: paudan22@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/paul-daniel-6b3646178/
Lynn Kaack (Hertie School)
Short Bio
I'm an Assistant Professor at the Hertie School in Berlin, and also one of the three co-founders and chairs of CCAI. I work in the field of public policy, with a focus on climate change mitigation and ML.
Interests/Experience
- Areas of Interest: Natural language processing
- Areas of Experience: Buildings and cities, Power and energy, Transportation, Classification, regression, and supervised learning, Policy
Seeking/Offering
- Offering: Mentorship, Research collaborations
Contact
Ramit Debnath (University of Cambridge)
Short Bio
Ramit Debnath is a computational social scientist. His research focuses on energy and climate justice in the built environment using tools from data science. He uses machine learning and AI to inform sustainability and policy decisions for climate repair. He is currently a Laudes Foundation Research Associate and a Gates-Cambridge Scholar at the Centre for Natural Material Innovation and Energy Policy Research Group at the University of Cambridge. Ramit is a visiting researcher at the International Energy Agency (IEA)’s Energy Efficiency Division, working on the social dimension of digitalisation. He has a background in electrical engineering and a PhD in Energy Policy from Cambridge.
Interests/Experience
- Areas of Interest: Behavioral and social science, Buildings and cities, Climate justice, Policy, Power and energy, Transportation, Classification, regression, and supervised learning, Natural language processing
- Areas of Experience: Behavioral and social science, Buildings and cities, Climate justice, Policy, Power and energy, Societal adaptation, Classification, regression, and supervised learning, Natural language processing
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Funding, Mentorship, Networking, Paid consulting, Research collaborations, Startup co-founder
- Offering: Mentorship, Networking, Paid consulting, Research collaborations
Contact
- Email: rd545@cam.ac.uk
- Website: https://g.co/kgs/2LNKmZ
- Twitter URL: https://twitter.com/RamitDebnath
- LinkedIn URL: https://www.linkedin.com/in/rd545/
Cengiz Avcı (Istanbul Technical University)
Short Bio
BSc Geomatics Engineering student at Istanbul Technical University
Interests/Experience
- Areas of Interest: Computer vision and remote sensing
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing
Seeking/Offering
- Seeking: Funding, Mentorship, Networking, Research collaborations
Contact
- Email: avcice16@itu.edu.tr
- LinkedIn URL: https://www.linkedin.com/in/cengiz-hunter/
Diego Kiedanski (Yale University)
Short Bio
Background in computer engineering, Ph.D. in applied game theory for local energy markets. I have worked in the industry doing R&D and as an ML consultant. Currently pursuing a postdoc in applied ML in the SmartNets lab at Yale. Looking to transition full time into climate change-related problems.
Interests/Experience
- Areas of Interest: Buildings and cities, Agriculture, Power and energy, Transportation, Reinforcement learning and control, Forestry and other land use, Carbon capture and sequestration, Time-series analysis, Climate finance, Computer vision and remote sensing
- Areas of Experience: Power and energy, Classification, regression, and supervised learning, Reinforcement learning and control, Meta- and transfer learning, Time-series analysis, Computer vision and remote sensing
- Additional details: The list is not extensive :)
Seeking/Offering
- Seeking: Networking, Mentorship, Research collaborations, Startup co-founder
- Offering: Mentorship, Research collaborations, Startup co-founder
- Additional details: I am considering going into the startup world with a strong focus on climate change and ML. Still looking for ideas & partners.
Contact
- Location: New Haven, CT / Montevideo, UY
- Email: dkiedanski@gmail.com
- Website: https://kiedanski.com
- LinkedIn URL: https://www.linkedin.com/in/diego-kiedanski/
Hung-Ju Chen
Short Bio
Hi, I'm Hung-Ju from Meta Inc. for 4.5 years. Working in ads recommendation for 4 years and scam detection in marketplace for 0.5 years. Would use my expertise to help fighting climate change.
Interests/Experience
- Areas of Interest: Climate justice, Power and energy, Computer vision and remote sensing, Natural language processing, Time-series analysis
- Areas of Experience: Classification, regression, and supervised learning, Natural language processing, Recommender systems
Seeking/Offering
- Seeking: Employment opportunities, Mentorship, Networking
- Offering: Research collaborations, Startup co-founder
Contact
- Location: Seattle
- Email: robert501128@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/robert501128/
Jiyong Eom (KAIST)
Short Bio
Jiyong Eom is an associate professor at the School of Business & Technology Management (BTM) at KAIST, the Head of the Graduate School of Green Growth & Sustainability (GGGS), and the Director of the Center for Sustainable Development (CSD). His research interests include energy & environmental economics and management, integrated assessment modeling for climate and technology policy analysis, climate financial risk management, and demand-side energy management. His research appeared in many refereed journals, including Nature Energy, Global Environmental Change, Energy Economics, Energy Policy, and Climatic Change. He served as a contributing author for Chapters 6 and 9 of the IPCC Fifth Assessment Report of Working Group III (Mitigation of Climate Change) and was recognized as a Highly Cited Researcher in the social science area in both 2019 and 2020. He received a BS degree in Chemical Engineering from Yonsei University, an MS degree in Chemical & Biomolecular Engineering from KAIST, and a Ph.D. in Management Science & Engineering with a concentration on Policy & Strategy from Stanford University.
Interests/Experience
- Areas of Interest: Power and energy, Classification, regression, and supervised learning, Behavioral and social science, Policy, Climate finance
- Areas of Experience: Power and energy, Behavioral and social science, Policy
Seeking/Offering
- Seeking: Networking, Data, Research collaborations, Funding
- Offering: Employment opportunities
- Additional details: KAIST's Graduate School of Green Growth and Sustainability is offering three tenure-track faculty positions: 1. Integrated Assessment Modeling focusing on Energy and Climate Technology and Policy 2. Techno-economic Analysis of Green and Circular Processes, Products, and Services 3. Climate Business Intelligence and Energy AI Can you post this job opportunity in your news letter at the earliest of your convenience? https://www.kaist.ac.kr/kr/html/footer/0814.html?mode=V&no=728d71b4c24fb53985ee044469cce425&GotoPage=1
Contact
- Location: Republic of Korea
- Email: eomjiyong@kaist.ac.kr
- Website: https://kaistceps.quv.kr/
- LinkedIn URL: https://www.linkedin.com/in/jiyong/
Maggie Dong
Short Bio
Clean transportation and energy specialist, focus on creating integrated business and technology solutions to electrify with the lowest costs and least negative impacts on communities. Delivering solutions across all scales, from multi-national to site level.
Interests/Experience
- Areas of Interest: Behavioral and social science, Buildings and cities, Policy, Power and energy, Transportation, Computer vision and remote sensing, Data mining, Human-computer Interaction
- Areas of Experience: Policy, Power and energy, Transportation, Data mining
Seeking/Offering
- Seeking: Employment opportunities, Mentorship, Networking, Paid consulting, Pro-bono consulting, Research collaborations, Startup co-founder
- Offering: Mentorship, Networking, Paid consulting, Pro-bono consulting, Research collaborations, Startup co-founder
Mohammed Kasim (Mr)
Short Bio
Mohammed Kasim Jufar Lecturer at Arsi University Ph.D. Student in Climate change and Bio-energy Development @Hawassa University, P.O. box, 135, Celular: +251913126420, Thank You in Advance!!!
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate and Earth science, Climate finance, Climate justice, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Policy, Societal adaptation, Active learning, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Agriculture, Carbon capture and sequestration, Forestry and other land use
- Additional details: Mohammed Kasim Jufar Lecturer at Arsi University PhD Student in Climate change and Bio-energy Development @Hawassa University, P.O. box, 135, Celular: +251913126420, Thank You in Advance!!!
Seeking/Offering
- Seeking: Data, Employment opportunities, Funding, Internships, Lacuna Fund Collaborations, Mentorship, Networking, Paid consulting, Research collaborations
Contact
- Location: Ethiopia
- Email: mohammedkj@arsiun.edu.et
- Website: https://profiles.wordpress.org/mkasim122/
- Twitter URL: https://www.instagram.com/mohammedkasimjufar/
- LinkedIn URL: https://www.linkedin.com/in/mohammed-kasim-b6016413a/
- Circle URL: https://community.climatechange.ai/u/7e84e2ed
Roman Kos (Art Of Green Path)
Short Bio
Experienced visionary leader and digital creator at the intersection of product, business, ai, ux and marketing. Passionate about innovative solutions related to climate change and generative ai focused on nature based solutions and business optimiziation and automatization toward sustainable future.
Interests/Experience
- Areas of Interest: Agriculture, Behavioral and social science, Carbon capture and sequestration, Climate and Earth science, Climate finance, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Power and energy, Active learning, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Human-computer Interaction, Natural language processing, Reinforcement learning and control
- Areas of Experience: Generative modeling, Classification, regression, and supervised learning, Human-computer Interaction, Reinforcement learning and control, Behavioral and social science, Active learning, Ecosystems and natural resources, Natural language processing
- Additional details: I am interested in using Generative AI and LLM (like ChatGPT) for research, analysis, data extraction and data syntesis, content creation, strategy and marketing with the purpose to protect and restore nature and mitigate climate change. I am also focused on integration of AI models (like GPT-4) over API with existing business, scientific, data, measuring and analytical systems.
Seeking/Offering
- Seeking: Networking, Data, Employment opportunities, Research collaborations, Startup co-founder, Funding
- Offering: Paid consulting, Networking, Mentorship, Research collaborations, Startup co-founder
- Additional details: Creative, analytical, transdisciplinary, strategic and results oriented. I am looking for leadership / management role at the intersection of generative ai applications and sustainable future creation. I would like to collaborate with great people who are working on meaningful human-centrred, nature-caring and ai-powered challenges. Experienced in transfornative learning programs and digital products creation for personal and professional growth toward sustainable future. Experienced in ChatGPT prompts design, GPT-4 integrations, big picture envisioning, workflows and processes optimizations, customer facing systems design and UX, and all stakeholders motivation and alignment.
Contact
- Location: Sollentuna, Sweden and Remote
- Email: romankosart@gmail.com
- Website: https://artofgreenpath.com/
- LinkedIn URL: https://www.linkedin.com/in/romankos
Simone Nsutezo Fobi (Columbia University)
Short Bio
I am a PhD student, in Mechanical Engineering at Columbia University. My research focuses on Electricity Demand Analytics & Prediction and Energy System Design . Specifically, my work combines large amounts of electricity consumption data (obtained from electric meters) with remote sensed satellite imagery, to infer electricity demand from satellite imagery.
Interests/Experience
- Areas of Interest: Power and energy, Classification, regression, and supervised learning, Computer vision and remote sensing, Unsupervised and semi-supervised learning
- Areas of Experience: Power and energy, Classification, regression, and supervised learning, Computer vision and remote sensing, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Networking, Research collaborations
Contact
- Email: sf2786@columbia.edu
- Website: https://nsutezo.github.io
- Circle URL: https://community.climatechange.ai/u/a260c5cb
Ramij Raja Hossain (Iowa State University)
Short Bio
I am a Ph.D. student and Research Assistant in the Department of Electrical and Computer Engineering at Iowa State University, USA. My current research is focused on data-driven MPC, distributed control, game theory, and reinforcement learning-based approaches in power systems.
Interests/Experience
- Areas of Interest: Power and energy, Classification, regression, and supervised learning, Human-computer Interaction, Reinforcement learning and control, Meta- and transfer learning
- Areas of Experience: Power and energy, Reinforcement learning and control
Seeking/Offering
- Seeking: Networking, Mentorship, Employment opportunities, Internships, Research collaborations
Contact
- Location: Ames, Iowa
- Email: rhossain@iastate.edu
- LinkedIn URL: https://www.linkedin.com/in/ramij-raja-hossain-45212a139
- Circle URL: https://community.climatechange.ai/u/23ffcacb
Michael Orimogunje (University of Huddersfield)
Interests/Experience
- Areas of Interest: Agriculture, Buildings and cities, Ecosystems and natural resources, Human-computer Interaction, Unsupervised and semi-supervised learning
- Areas of Experience: Agriculture, Ecosystems and natural resources, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Natural language processing, Unsupervised and semi-supervised learning
- Additional details: Researcher at the University of Huddersfield on intelligent system with self-rectifying capability for autonomous farming powered by solar energy.
Seeking/Offering
- Seeking: Networking, Research collaborations
Contact
Chris Dean
Short Bio
I am a seasoned CEO/CTO and startup founder who has been working in digital innovation for over 20 years. I am dedicating the second half of my working life to ClimateTech endevours to help address the climate crisis. I have a keen intrest in AI/Ml and am founding and supporting ClimateTech projects and start-up businesses which can leverage or be accelerated by AI and other digital processes and technologies.
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate and Earth science, Disaster prediction, management, and relief, Power and energy, Societal adaptation, Computer vision and remote sensing, Data mining, Generative modeling, Hybrid physical models, Natural language processing
- Areas of Experience: Agriculture, Buildings and cities, Carbon capture and sequestration, Computer vision and remote sensing, Natural language processing, Time-series analysis
- Additional details: My current work is focussed on using generative AI to optimise software systems to increase efficency and reduce power consumption, tackling the data centre power usage problem at source as well as other software/power related issues that are hiding in plain sight at scale. Happy to talk to anyone who may be interested in collaborating on this work.
Seeking/Offering
- Seeking: Data, Funding, Networking, Research collaborations, Startup co-founder
- Offering: Mentorship, Networking, Paid consulting, Pro-bono consulting, Research collaborations, Startup co-founder
Contact
- Location: Brighton, United Kingdom
- Email: chris@digitaltactics.co.uk
- LinkedIn URL: https://www.linkedin.com/in/chrisjohndean/
- Circle URL: https://community.climatechange.ai/u/abc1d5ad?
Ambar Nag (University of California, Davis)
Short Bio
Graduate Student in Environmental Policy and Management at the University of California, Davis. 15 years' professional experience as a Data Scientist across Consulting and Product Management.
Interests/Experience
- Areas of Interest: Policy, Natural language processing
- Areas of Experience: Power and energy, Classification, regression, and supervised learning, Data mining
- Additional details: In 2023 I built the State Clean Electricity Transition Tracker India, a dashboard for India's power sector combining structured technical and unstructured policy data. In 2024 I added NLP tools for policy analysis to the website. | The Dashboard: https://scetti.org/dashboard | NLP Tools: https://scetti.org/policy_tools
Seeking/Offering
- Seeking: Networking
- Offering: Pro-bono consulting
- Additional details: Seeking 2025 internship opportunities in a Data Science role related to Climate Action and Environmental Sustainability
Contact
- Location: Davis, CA, United States
- Email: ambar@scetti.org
- Website: https://scetti.org/
- LinkedIn URL: https://www.linkedin.com/in/ambar-nag-5793396/
- Circle URL: https://community.climatechange.ai/u/5bd4fcb1
Nandakumar Krishnaswamy
Interests/Experience
- Areas of Interest: Agriculture, Behavioral and social science, Buildings and cities, Carbon capture and sequestration, Climate and Earth science, Climate finance, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Industry, Societal adaptation, Transportation
Contact
- Email: nandakumar.krishnaswamy@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/nandakumarkrishnaswamy/
Nicolas Leiva (Sapucay)
Short Bio
I am an entrepreneur who measures carbon footprint, mitigation, and carbon capture in the agricultural sector using AI.
Interests/Experience
- Areas of Interest: Agriculture
- Areas of Experience: Climate and Earth science, Computer vision and remote sensing, Data mining
- Additional details: We are seeking financing to expedite our processes. Additionally, if you are a developer interested in contributing to the project and becoming a co-founder, you are more than welcome to join us.
Seeking/Offering
- Seeking: Funding
- Offering: Startup co-founder
Contact
- Location: Argentina
- Email: nico@sapucaytech.com
- LinkedIn URL: https://www.linkedin.com/in/nicolasleiva/
- Circle URL: https://community.climatechange.ai/u/fe85eb34
Olivia (Life Initiative for Change)
Short Bio
Public health specialist
Interests/Experience
- Areas of Interest: Agriculture, Behavioral and social science, Climate justice, Disaster prediction, management, and relief
- Areas of Experience: Behavioral and social science
Seeking/Offering
- Seeking: Funding, Mentorship, Networking, Startup co-founder
- Offering: Networking
Contact
- Location: Zambia
- Email: zulu.olivialwanga@gmail.com
Salma Elgezawy (Faculty of Artificial Intelligence, Menoufia University )
Interests/Experience
- Areas of Interest: Climate and Earth science, Active learning, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Human-computer Interaction, Hybrid physical models, Interpretable ML, Meta- and transfer learning, Natural language processing, Recommender systems, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Classification, regression, and supervised learning
Seeking/Offering
- Seeking: Data, Employment opportunities, Funding, Internships, Lacuna Fund Collaborations, Mentorship, Networking, Research collaborations
- Offering: Networking
Contact
Itai Epstein (McGill University)
Short Bio
I am a recent graduate in Computer Science proficient in ML, web dev, and GIS. I'm interested in using AI for good and analyzing the way people.
Interests/Experience
- Areas of Interest: Behavioral and social science, Buildings and cities, Policy, Power and energy, Transportation, Computer vision and remote sensing, Human-computer Interaction, Recommender systems
- Areas of Experience: Human-computer Interaction, Reinforcement learning and control
Seeking/Offering
- Seeking: Employment opportunities, Internships, Mentorship
- Offering: Networking, Pro-bono consulting, Research collaborations
Contact
- Location: Montréal, QC
- Email: itainepstein@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/itai-epstein
- Circle URL: https://community.climatechange.ai/u/6f69a66f
Tod Hynes (MIT)
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate and Earth science, Climate finance, Ecosystems and natural resources, Power and energy, Transportation, Generative modeling
- Areas of Experience: Climate finance, Power and energy, Transportation
Contact
- Location: Boston
- Email: thynes@mit.edu
- Website: https://www.clymatestudios.com/
- LinkedIn URL: https://www.linkedin.com/in/altenergy/
Dhalavai N (Rajalakshmi Institute of technology)
Contact
- Location: India
- Email: dhalavai.n.2021.cse@ritchennai.edu.in
Bartosz Boguslawski (Schneider Electric)
Short Bio
Data Scientist and Data Science Team Manager. Interested in applications of AI to fight climate change.
Interests/Experience
- Areas of Interest: Agriculture, Buildings and cities, Carbon capture and sequestration, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Industry, Power and energy, Transportation, Active learning, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Interpretable ML, Meta- and transfer learning, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Buildings and cities, Industry, Power and energy, Active learning, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Interpretable ML, Meta- and transfer learning, Time-series analysis, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Employment opportunities, Internships, Networking, Research collaborations
Contact
- Location: France
- LinkedIn URL: https://www.linkedin.com/in/bartoszboguslawski/
Rory Hooper (TU Delft)
Short Bio
I am an Engineering and Policy Analysis MSc student at TU Delft. I am currently finishing my thesis which uses a deep learning NLP method to derive and aggregate causal relations from policy analysis literature into a causal map of policy performance. I have developed and applied this method to a collection of 28 ex-post analysis papers on the subject of emissions trading. I am currently looking for opportunities for after I graduate, in the energy transition field.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Policy, Power and energy, Societal adaptation, Human-computer Interaction, Natural language processing
- Areas of Experience: Policy, Power and energy, Natural language processing
Seeking/Offering
- Seeking: Employment opportunities, Networking
Contact
- Location: The Netherlands
- Email: roryhooper14@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/rory-hooper-b7976019b/
Mahrukh Niazi (Graduate Student at University of Toronto)
Seeking/Offering
- Seeking: Internships, Networking
Contact
- Email: mahrukh.niazi@gmail.com
- Website: https://github.com/Mahrukh-Niazi
- LinkedIn URL: https://www.linkedin.com/in/mahrukh-niazi/
Khaled Mohamad (Researcher)
Short Bio
I am an accomplished Ph.D. in Material Science Engineering with a deep interest in sustainable energy and machine learning. As a member of the Climate Change AI community, I am dedicated to finding innovative solutions to the challenges posed by climate change. My research focuses on solar energy and how machine learning can be leveraged to create a sustainable, low-carbon, affordable, and equitable energy system. I am passionate about reducing greenhouse gas emissions and helping society adapt to the effects of climate change. With my knowledge and dedication, I am poised to make a significant impact in the field of sustainable energy and climate change.
Interests/Experience
- Areas of Interest: Industry, Power and energy, Causal and Bayesian methods, Classification, regression, and supervised learning, Interpretable ML, Time-series analysis
- Areas of Experience: Industry, Power and energy
Seeking/Offering
- Seeking: Employment opportunities, Internships, Networking, Research collaborations
Miguel-Ángel Fernández-Torres (Image and Signal Processing (ISP) Group, Image Processing Laboratory (IPL), Universitat de València, Spain)
Short Bio
I work at present as a postdoctoral researcher in the ERC USMILE project, taking part in the Image and Signal Processing Group at the Universitat de València, Spain. My current research within the area of Machine Learning for Earth and Climate Sciences involves the design and understanding of explainable deep generative models and machine attention mechanisms to be deployed for anomaly and extreme event detection.
Interests/Experience
- Areas of Interest: Generative modeling, Unsupervised and semi-supervised learning, Causal and Bayesian methods, Disaster prediction, management, and relief, Climate and Earth science, Interpretable ML, Computer vision and remote sensing
- Areas of Experience: Causal and Bayesian methods, Computer vision and remote sensing, Generative modeling, Interpretable ML, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Networking, Data, Research collaborations
Contact
- Email: miguel.a.fernandez@uv.es
- Website: https://miguelangelft.github.io/
- Twitter URL: https://twitter.com/miguelangelft
- LinkedIn URL: https://www.linkedin.com/in/miguelangelft/
Nishan Srishankar
Short Bio
I graduated with a Masters degree in Robotics engineering at WPI and have worked on decision-making for adversarial Multi-robot swarm systems (thesis), self-supervised learning of satellite images (NASA-SETI institute), explainable AI using graphs for multi-agent systems (Honda Research Institute), autonomous driving, and action recognition using smartphone sensors in the wild (DARPA).
Interests/Experience
- Areas of Interest: Climate and Earth science, Policy, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Hybrid physical models, Interpretable ML, Meta- and transfer learning, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Networking, Research collaborations
Contact
- Email: nsrishankar@wpi.edu
- LinkedIn URL: https://www.linkedin.com/in/nishansrishankar
SIDDHA GANJU (Senior Scientist Nvidia)
Short Bio
Currently, I am an Architect at Nvidia focusing on the AI optimization for Medical instruments, Floods and Climate and Self-driving cars. I work towards stable and scalable training of neural networks on very large data centers, and utilize simulation to validate the neural networks.
Contact
- Website: http://sidgan.github.io/siddhaganju
- Twitter URL: https://twitter.com/SiddhaGanju
- LinkedIn URL: https://www.linkedin.com/in/sidgan/
Ella Jewison
Interests/Experience
- Areas of Interest: Climate and Earth science
- Areas of Experience: Climate and Earth science, Computer vision and remote sensing
- Additional details: Geosciences PhD and Machine Learning Scientist I am looking for AI application that help fight climate change
Seeking/Offering
- Seeking: Data, Employment opportunities, Networking, Research collaborations
Contact
- Location: France
- Email: jewison.ella@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/ella-jewison
Yu Zhou (Northern Arizona University)
Interests/Experience
- Areas of Interest: Climate and Earth science, Ecosystems and natural resources, Forestry and other land use, Computer vision and remote sensing, Time-series analysis
Contact
- Email: zhouy.work@gmail.com
Tom Corringham (Scripps Institution of Oceanography, University of California San Diego)
Short Bio
Staff Research Economist at Scripps Institution of Oceanography's Department of Climate and Atmospheric Sciences. My research focuses on quantifying the costs of extreme weather events related to climate change to inform interventions that protect vulnerable populations.
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate and Earth science, Climate finance, Climate justice, Disaster prediction, management, and relief, Policy, Societal adaptation, Classification, regression, and supervised learning, Natural language processing, Unsupervised and semi-supervised learning
- Areas of Experience: Behavioral and social science, Climate and Earth science, Disaster prediction, management, and relief, Policy, Societal adaptation, Natural language processing
Seeking/Offering
- Seeking: Data, Funding, Mentorship, Networking, Research collaborations
- Offering: Data, Mentorship, Networking, Research collaborations
Contact
- Email: tcorringham@ucsd.edu
- Website: https://tcorringham.scrippsprofiles.ucsd.edu/
- Twitter URL: https://twitter.com/tomextremes
- LinkedIn URL: https://www.linkedin.com/in/tcorringham/
- Circle URL: https://community.climatechange.ai/u/0ef45946
Dakshal Dhere (Individual)
Short Bio
I am an aspiring Data Scientist currently pursuing my undergraduate degree. I am interested in climate models and euphoric to use ML to inform these model and improve their accuracy.
Interests/Experience
- Areas of Interest: Climate and Earth science, Classification, regression, and supervised learning, Computer vision and remote sensing, Unsupervised and semi-supervised learning
- Areas of Experience: Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Unsupervised and semi-supervised learning
- Additional details: I am interested in exploring ways to contribute to the fight against climate change as a data scientist.
Seeking/Offering
- Seeking: Data, Internships, Mentorship
- Additional details: I would like to work on AI-ML projects circling climate change.
Contact
- Location: Mumbai, India
- Email: Dakshaldhere@gmail.com
Rama Ramakrishnan (MIT)
Contact
- Website: https://mitsloan.mit.edu/faculty/directory/rama-ramakrishnan
- Twitter URL: https://twitter.com/rama100
- LinkedIn URL: https://www.linkedin.com/my/ramar
Yusuf Nasir Ahmad (HealStoc)
Short Bio
🔍 Yusuf Nasir is a distinguished and certified data scientist, renowned for his significant contributions and accolades within the field. He has demonstrated exceptional prowess in data management and analysis through his participation in the ClickonKaduna Data Science Fellowship Program, an initiative supported by the Bill & Melinda Gates Foundation. His dedication was further recognized with an Award of Honor for his role as a Judge at the Digital Health Hackathon hosted by the Association of Pharmaceutical Students of Nigeria (PANS) at Ahmadu Bello University Zaria. Professional Background: Currently holds the position of 3MTT Data Science Fellow at NITDA, working closely with the Federal Ministry of Communications, Innovations, and Digital Economy to devise data-centric solutions. Served as an Intern at the UNDP Jubilee Programme, Nigeria, where he sharpened his skills in processing intricate datasets and constructing predictive models to mitigate socio-economic issues. Participated in esteemed data science fellowship programs, notably the ClickonKaduna DSFP, employing sophisticated data management strategies to bolster public health efforts in Kaduna State. Exhibited leadership qualities as the President of the Nigerian Economics Students Association, ABU Chapter, encouraging teamwork and innovation. Upholds ethics, teamwork, and collaborative problem-solving as fundamental principles guiding his professional ethos. Achievements: Earned recognition for superior performance in the ClickonKaduna DSFP, receiving a certificate of merit. Received the prestigious Award of Honour for his contribution as a Judge at the Digital Health Hackathon organized by PANS, ABU Zaria. Guided Team HealStock to victory in the Lagos 1 Week Pre-Incubation Bootcamp, funded by Cc-Hub, securing the top spot in the 1st Cohort 3MTT Innovation Challenge across North West Nigeria. Secured a brand new Laptop as a reward for winning the February 3MTT Knowledge Showcase Challenge. Aspirations: Yusuf takes pride in his involvement in impactful projects such as ClickonKaduna, where he collaborated with the Amina J. Mohammed SDGs Data Lab to gather data for UN SDGs 3 and 4. His commitment to fostering innovation is evident through his work on predictive models, including the House Price Prediction Model and the Heart Disease Prediction Model. With a keen interest in applying Artificial Intelligence (AI) to climate change, Yusuf aims to leverage his technological expertise and economic background to address global environmental challenges. His ambition is to utilize AI technologies to predict climate patterns, optimize renewable energy resources, and develop sustainable solutions for communities affected by climate change. Driven by a profound desire to effect positive change, Yusuf is enthusiastic about contributing his skills to initiatives focused on sustainable development and societal advancement.
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate finance, Climate justice, Classification, regression, and supervised learning, Computer vision and remote sensing, Human-computer Interaction, Natural language processing
- Areas of Experience: Behavioral and social science, Power and energy, Data mining, Time-series analysis, Unsupervised and semi-supervised learning
- Additional details: I am just excited about learning everyday. Fundamentally passionate about solving problems.
Seeking/Offering
- Seeking: Employment opportunities, Funding, Mentorship, Networking, Startup co-founder
- Offering: Mentorship, Networking, Research collaborations, Startup co-founder
- Additional details: I deploy emotional intelligence, creative thinking and collaborative problem solving wherever required.
Contact
- Location: Nigeria
- Email: Naseeryusuf07@gmail.com
- Twitter URL: https://x.com/YusufNasir_Ahmd
- LinkedIn URL: https://www.linkedin.com/in/nasir-ahmadd/
Roy Saurabh (Université de Paris Cité)
Short Bio
Roy has vast professional experience in AI and Education policy research and Data governance architectures. Roy is currently the Digital transformation lead at UNESCO and Human-Computer Interaction researcher at UdP, where he studies how learners affect during the learning environment and architect applications that acknowledge holistic profiles of learners while developing predictive indicators to their mental health. He had architect-ed the Affect-aware Digital platform while at UNESCO’s research institute for analyzing and modelling learner cognitive and affective trajectory while administering Social & Emotional Learning competency and building mental well being digital courses. Roy has developed real-world, inclusive applications leveraging AI, cognitive modelling, human-machine interaction, data mining, & data visualization with focus on human flourishing.
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate justice, Societal adaptation
- Areas of Experience: Behavioral and social science, Human-computer Interaction, Natural language processing
Seeking/Offering
- Seeking: Networking, Research collaborations, Startup co-founder
- Offering: Employment opportunities, Internships, Mentorship, Paid consulting, Pro-bono consulting
Contact
- Location: France
- Email: royz.saurabh@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/roy-saurabh/
Piyush Yadav (Hong Kong University of Science and Technology)
Contact
- Location: Hong Kong
- Email: pyadav@connect.ust.hk
- LinkedIn URL: https://www.linkedin.com/in/1piyushyadav/
- Circle URL: https://community.climatechange.ai/u/a3452755?
Anya Schukin
Short Bio
I’m a Paris-based ML software engineer, originally from San Francisco. Masters in CS / AI from École 42 Paris, with experience in technical product R&D, project management, and in a past life I founded and scaled a digital travel + culture publication. I want to use my skills to affect environmental change at 10x scale. If you have any career opportunities that touch on tech x product x data x environment, shoot me a message!
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Computer vision and remote sensing, Meta- and transfer learning, Natural language processing
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing, Recommender systems
Seeking/Offering
- Seeking: Employment opportunities, Mentorship, Networking
Contact
- Email: anya.schukin@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/anya-schukin/
Allison Campbell (Pacific Northwest National Laboratory)
Short Bio
I'm a staff scientist in the Electricity, Infrastructure, and Buildings Division at PNNL. I'm also working towards a PhD in Bayesian estimation of net load at UNC Charlotte.
Interests/Experience
- Areas of Interest: Power and energy, Causal and Bayesian methods, Generative modeling, Time-series analysis, Uncertainty quantification and robustness
- Areas of Experience: Industry, Power and energy, Causal and Bayesian methods, Time-series analysis, Uncertainty quantification and robustness
Seeking/Offering
- Seeking: Mentorship, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Email: allison.m.campbell@pnnl.gov
- Twitter URL: https://twitter.com/llisonwndrland
- LinkedIn URL: https://www.linkedin.com/in/allison-campbell-44201421/
- Circle URL: https://community.climatechange.ai/u/25d3305f
Mark Johnson (SilvaCarbon Anayltics)
Short Bio
Forest Carbon Biometrics Consultant
Interests/Experience
- Areas of Interest: Forestry and other land use
- Areas of Experience: Forestry and other land use
- Additional details: Forest inventory, carbon sequestration storage and potential, GIS system data analysis.
Seeking/Offering
- Seeking: Networking
- Offering: Pro-bono consulting
- Additional details: FUTURE: Dedicating my intellectual, physical and spiritual energies to helping solve the world's climate crisis. PAST: Accomplished senior-level software technology professional with extensive experience and proven results. A strong record of success in data analytics, technology marketing, business development, relationship management, strategic planning, and product delivery in competitive global markets.
Contact
- Location: Portland Oregon, USA
- Email: mdjohns5@gmail.com
- Website: https://www.silvacarbonanalytics.com
- LinkedIn URL: https://www.linkedin.com/in/markdmjohnson/
Cyril Verluise (College de France & QuantumBlack)
Short Bio
Hello, I am an economist (PhD) and a data scientist. I am interested into real world ML applications to industry decarbonization. Looking forward to connect with you all!
Interests/Experience
- Areas of Interest: Industry, Power and energy, Natural language processing, Reinforcement learning and control
- Areas of Experience: Power and energy
Seeking/Offering
- Seeking: Mentorship, Networking, Research collaborations
- Offering: Networking
- Additional details: Hey there, I'm mainly there to learn about you and connect to stimulate my creativity and deepen my understanding of the field. Feel free to reach out to me. Cheers!
Contact
- Location: Paris, France
- Email: cyril.verluise@gmail.com
- Website: https://cverluise.github.io/
- Twitter URL: https://twitter.com/CyrilVerluise
- LinkedIn URL: https://www.linkedin.com/in/cyril-verluise-80184347/
- Circle URL: https://community.climatechange.ai/u/d9bbdb40
David Tew (Step Function LLC)
Short Bio
I am currently the CEO & Founder of Step Function LLC (sF) and CO2NO Inc (a non-profit). sF and CO2NO are both pursing the development of climate technologies and AI-enhanced climate tech design tools. I am the former Deputy Director of Technology at ARPA-E and a Program Director. I launched and led the $40M DIFFERENTIATE program in 2019, which was focused on the development of ML/AI-enhanced design tools for climate change mitigation technologies.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Power and energy, Transportation, Generative modeling, Hybrid physical models, Natural language processing
- Areas of Experience: Carbon capture and sequestration, Power and energy, Transportation, Generative modeling, Hybrid physical models
Seeking/Offering
- Seeking: Networking, Pro-bono consulting, Research collaborations, Startup co-founder
- Offering: Mentorship, Networking, Pro-bono consulting, Research collaborations
Contact
- Location: USA & Netherlands
- Email: davetew@step-function.com
- Website: https://www.davetew.org/home
- LinkedIn URL: https://www.linkedin.com/in/david-e-tew/
Giannis Tolios (Independent Researcher)
Short Bio
I currently work as a sustainability data scientist, and I'm intending to conduct independent research at the intersection of climate change and machine learning. I am highly proficient in data analysis, time series forecasting, supervised machine learning and natural language processing. Furthermore, I have substantial knowledge in the domains of climate change, biodiversity and sustainability in general.
Interests/Experience
- Areas of Interest: Climate and Earth science, Ecosystems and natural resources, Power and energy, Classification, regression, and supervised learning, Natural language processing, Time-series analysis
- Areas of Experience: Climate and Earth science, Classification, regression, and supervised learning, Time-series analysis
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Research collaborations
Contact
- Location: Thessaloniki, Greece
- Email: giannis.tolios@outlook.com
- Website: https://giannis.io/
- LinkedIn URL: https://www.linkedin.com/in/giannis-tolios/
Luis Castro
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Power and energy, Computer vision and remote sensing, Interpretable ML
- Areas of Experience: Power and energy, Classification, regression, and supervised learning, Natural language processing, Time-series analysis
Seeking/Offering
- Seeking: Data, Funding, Mentorship, Networking, Startup co-founder
- Offering: Mentorship, Pro-bono consulting, Startup co-founder
Contact
- Location: Canada
- Email: luis.quiros@gmail.com
- Website: https://medium.com/@tale.fluke
- LinkedIn URL: https://www.linkedin.com/in/luisquiros/
Avni Kothari (UC San Diego)
Short Bio
I'm a masters student at UC San Diego. I just at the beginning on my journey to work in the space of AI and Climate Change. I've formally studied math and economics and worked as a software engineer for 6 year.
Interests/Experience
- Areas of Interest: Buildings and cities, Climate justice, Power and energy
Seeking/Offering
- Seeking: Mentorship, Networking, Research collaborations
Contact
- Email: akothari@ucsd.edu
- Website: http://github.com/avni510
- LinkedIn URL: https://www.linkedin.com/in/avni-kothari-aa7b5949/
Heather Couture (Pixel Scientia Labs)
Short Bio
Fighting cancer & climate change with AI. Distilling the latest research to help R&D teams implement better models and create an impact. CV/ML/DL Consultant
Interests/Experience
- Areas of Interest: Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Interpretable ML, Meta- and transfer learning, Unsupervised and semi-supervised learning
- Areas of Experience: Power and energy, Classification, regression, and supervised learning, Computer vision and remote sensing, Interpretable ML, Meta- and transfer learning, Unsupervised and semi-supervised learning
- Additional details: Primarily focused on computer vision for remote sensing
Seeking/Offering
- Seeking: Paid consulting
- Offering: Employment opportunities
Contact
- Website: http://pixelscientia.com
- Twitter URL: https://twitter.com/heatherdcouture
- LinkedIn URL: https://www.linkedin.com/in/hdcouture/
Zhenning Yang (University of Michigan)
Interests/Experience
- Areas of Interest: Climate and Earth science, Natural language processing, Computer vision and remote sensing
- Areas of Experience: Computer vision and remote sensing, Data mining, Interpretable ML, Natural language processing, Time-series analysis
Seeking/Offering
- Seeking: Academic positions, Networking, Research collaborations
Contact
- Location: Ann Arbor, MI
- Email: znyang@umich.edu
- Website: https://zyang37.github.io/
- Twitter URL: https://twitter.com/zyang0139
- LinkedIn URL: https://www.linkedin.com/in/znyang/
- Circle URL: https://community.climatechange.ai/u/890af733?
Behzad Ansarinejad
Short Bio
Data scientist with 10 years of experience | Actively searching for data science & AI/ML roles in climate, environment and sustainability sectors
Interests/Experience
- Areas of Interest: Climate and Earth science, Power and energy
- Areas of Experience: Causal and Bayesian methods, Classification, regression, and supervised learning, Data mining, Meta- and transfer learning, Recommender systems, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Employment opportunities, Mentorship, Networking, Paid consulting, Research collaborations
- Additional details: Data scientist with 10 years of experience | Actively searching for data science & AI/ML roles in climate, environment and sustainability sectors
Contact
- Location: Melbourne, Australia
- Email: behzad.ansarinejad@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/behzad-ansarinejad/
Marcus Voss (TU Berlin, Birds on Mars)
Short Bio
At the Distributed Artificial Intelligence Laboratory (DAI-Lab), I have coordinated and worked on several research projects investigating how digitization and AI can support the energy transition. Within those projects, I have been modeling, forecasting, and optimizing different demand-side processes such as electric vehicles, smart building- and smart home loads, and renewable generation. I have coordinated the research group Smart Energy Systems, where I was responsible for aligning the DAI research for solutions for the energy system. I have co-supervised several Seminar, Bachelor and Master theses and project-based courses, mostly in applied machine learning for energy data, hoping to inspire more students to work in the field. In my doctoral research at TU Berlin, I work on analyzing low voltage-level smart meter data using non-Euclidean distance measures and neural networks with applications in load forecasting and load profile clustering.
Interests/Experience
- Areas of Interest: Buildings and cities, Power and energy, Generative modeling, Time-series analysis
- Areas of Experience: Power and energy, Time-series analysis
Seeking/Offering
- Seeking: Research collaborations
- Offering: Networking, Mentorship, Research collaborations
Contact
- Email: mail@marcusvoss.com
- Website: https://www.marcusvoss.com/
- Twitter URL: https://twitter.com/marcusvoss314
- LinkedIn URL: https://www.linkedin.com/in/marcus-vo%C3%9F-5b6944ba/
- Circle URL: https://community.climatechange.ai/u/99cdc660
Swati Rajwal (Emory University)
Short Bio
I am a CS Ph.D. student at Emory University and recipient of the Woman in Natural Science Fellowship. Before Emory, I was a Researcher at Cambridge University’s Computational and Biological Learning (CBL) Lab with Prof. Mancini. A bit before that, I worked as an RA at Saïd Business School (University of Oxford), supervised by Prof. Natalia Efremova. My Master’s degree at NSUT was supported by the AICTE PG Scholarship by Govt. of India and I received a Vice-Chancellor’s Gold Medal for my academic performance. My industry experience ranges from being a Software Engineer at Eaton Corp. to an R&D Senior Analyst at Accenture Technology Lab.
Interests/Experience
- Areas of Interest: Data mining, Natural language processing
- Areas of Experience: Natural language processing
Seeking/Offering
- Seeking: Internships
- Offering: Research collaborations
Contact
- Location: USA
- Email: srajwal@emory.edu
- Website: https://swati-rajwal.github.io/
- Twitter URL: https://twitter.com/SwatiRajwal
- LinkedIn URL: https://www.linkedin.com/in/swatirajwal/
- Circle URL: https://community.climatechange.ai/u/3d4a53cd
lucas chamorro
Short Bio
INGENIERO CIVIL- MAGISTER EN PLANIFICACION ENERGETICA
Interests/Experience
- Areas of Interest: Climate and Earth science, Power and energy
- Areas of Experience: Climate and Earth science, Disaster prediction, management, and relief, Power and energy, Time-series analysis
Seeking/Offering
- Seeking: Data, Lacuna Fund Collaborations, Networking, Research collaborations, Startup co-founder
- Offering: Data, Internships, Research collaborations
Contact
- Email: chamlucas@gmail.com
Romuald P. SAWADOGO (Centre de Production; de Formation et d'Echanges Techniques (CEPROFET))
Short Bio
Spécialiste du développement local et travaillant actuellement sur les questions de Climat-Environnement-Communautés dépendantes des forêts, je souhaite faire des relations avec des personnes plus expérimentées ou des structures partenaires en relation avec le sujet ci-dessus évoqué.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate justice, Ecosystems and natural resources, Forestry and other land use
- Areas of Experience: Ecosystems and natural resources
Seeking/Offering
- Seeking: Funding, Lacuna Fund Collaborations, Networking
- Offering: Internships
Contact
- Location: Burkina Faso
- Email: ceprofetburkina@yahoo.fr
Oliver Zielinski (German Research Center for Artificial Intelligence (DFKI))
Short Bio
Oliver Zielinski has been Professor of Marine Sensor Systems at the Institute for Chemistry and Biology of the Marine Environment (ICBM) at University Oldenburg since 2011. Since 2019, Zielinski is head of the research department “Marine Perception” at the German Research Center for Artificial Intelligence (DFKI) and since 2020, he leads the Competence Center “Artificial Intelligence for Environment and Sustainability”. Completing his PhD in physics at University Oldenburg in 1999, Zielinski became CEO of an international sensor systems supplier before being appointed professor at Bremerhaven University of Applied Sciences in 2005. Zielinski's research area covers environmental physics of aquatic ecosystems, utilizing intelligent technologies, especially in the field of autonomous sensor systems and marine observatories.
Interests/Experience
- Areas of Interest: Climate and Earth science, Ecosystems and natural resources, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Climate and Earth science, Ecosystems and natural resources, Computer vision and remote sensing, Time-series analysis
- Additional details: Marine Science Intelligent Sensors Edge AI Data stream mining
Seeking/Offering
- Seeking: Research collaborations
- Offering: Research collaborations
Contact
- Location: Germany
- Email: oliver.zielinski@dfki.de
- Website: https://www.dfki.de/en/web/research/competence-centers/ai-for-environment-and-sustainability
- Twitter URL: https://twitter.com/@OceanSensors
- LinkedIn URL: https://www.linkedin.com/in/oliver-zielinski-5851a9216/
Bill Eger (Arlington County)
Short Bio
Chief Climate Policy Officer for Arlington County, Virginia.
Interests/Experience
- Areas of Interest: Agriculture, Behavioral and social science, Buildings and cities, Carbon capture and sequestration, Climate and Earth science, Climate finance, Climate justice, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Industry, Policy, Power and energy, Societal adaptation, Transportation, Active learning, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Human-computer Interaction, Hybrid physical models, Meta- and transfer learning, Natural language processing, Time-series analysis, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Buildings and cities, Policy, Power and energy, Transportation
Contact
- Location: Arlington County, Virginia
- Email: ceger3@arlingtonva.us
- Website: https://www.billeger.me/
- LinkedIn URL: https://www.linkedin.com/in/egeriicw/
- Circle URL: https://community.climatechange.ai/u/4fc7175e?
Richard McKinney (University of Oxford)
Short Bio
At the heart of my work is a commitment to making the invisible, visible—turning abstract data into actionable insights for businesses and communities. I am adept at creating innovative products that utilize advanced analytics and AI, directly addressing critical climate challenges. My role extends to transforming cutting-edge scientific research into user-focused applications. This underscores my commitment to driving global environmental sustainability. My work in cybersecurity is equally pivotal, safeguarding digital and natural environments, which are essential for the stability and progression of humanity. This dual expertise positions me at the forefront of technological innovation, ensuring resilience in both digital and ecological domains.
Interests/Experience
- Areas of Interest: Buildings and cities, Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Power and energy, Transportation, Computer vision and remote sensing, Data mining, Natural language processing
- Areas of Experience: Power and energy, Transportation, Computer vision and remote sensing, Data mining, Natural language processing
Seeking/Offering
- Seeking: Networking
- Offering: Mentorship
Contact
- Location: Oxford
- Email: contact@richard-mckinney.com
- Website: https://www.richard-mckinney.com
- Twitter URL: https://twitter.com/__richardm__
- LinkedIn URL: https://www.linkedin.com/in/richardcmckinney/
Alexa Fernando (University of British Columbia)
Interests/Experience
- Areas of Interest: Power and energy, Causal and Bayesian methods, Reinforcement learning and control
- Areas of Experience: Power and energy, Causal and Bayesian methods
Seeking/Offering
- Seeking: Internships, Mentorship, Networking, Research collaborations
- Offering: Research collaborations
Contact
- Location: Canada
- Email: alexaparpart@gmail.com
Merce Casas-Prat (Environment and Climate Change Canada)
Short Bio
I am a research scientist studying marine climate extremes, with focus on ocean waves, and their impacts on coastal communities and offshore activities.
Interests/Experience
- Areas of Interest: Climate and Earth science, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Time-series analysis, Uncertainty quantification and robustness
- Areas of Experience: Climate and Earth science, Classification, regression, and supervised learning, Data mining, Time-series analysis
Seeking/Offering
- Seeking: Research collaborations
Contact
- Twitter URL: https://twitter.com/casas_prat
- LinkedIn URL: https://ca.linkedin.com/in/mcasasprat
AMIT KUMAR (INDIAN INSTITUTE OF TROPICAL METEOROLOGY, PUNE)
Short Bio
Ph.D. research scholar working in the field of Atmospheric Science
Interests/Experience
- Areas of Interest: Climate and Earth science
- Areas of Experience: Climate and Earth science
Seeking/Offering
- Seeking: Employment opportunities, Mentorship, Research collaborations
Ion Gradea (Ecole Centrale Nantes, School 42 (education))
Short Bio
Hi everyone, I am an IT system engineer with extensive volunteering experience in the climate change field, I mainly trained people on these issues and took part in projects. I am always looking for clever ways to move forward on these issues and contribute to impactful projects. I am also training on speed reading. I feel that this is a huge opportunity as a learning and teaching perspective in order to be able to cope with the pace of change and upgrade your skills. On top of that, I think that people that are committed to do impactful work can have a huge leverage with these techniques in order to push forward their goals. For reference, the world champion (the Usein Bolt of speed reading) can read 450 pages in 90 mins and pass comprehension tests with great scoring ! Education is key for the future ! I feel together we can make a big difference ! Looking forward to meeting you !
Interests/Experience
- Areas of Interest: Behavioral and social science, Climate and Earth science, Ecosystems and natural resources, Societal adaptation, Human-computer Interaction
- Areas of Experience: Behavioral and social science, Societal adaptation
- Additional details: I have been thinking for a very long time on the social and anthropological causes of climate change... I felt the need to go in depth in these questions and I think I found some compelling elements on what really happens and how to move forward. Therefore I am starting to write on these topics and share with others. Looking forward to meeting you !
Seeking/Offering
- Seeking: Funding, Mentorship, Networking, Research collaborations, Startup co-founder
- Offering: Networking, Paid consulting, Pro-bono consulting, Research collaborations
- Additional details: I am looking into starting several projects at different levels : - write a book on the social causes of climate change - do research on new visions of economics that are inspired from physics/biology/system dynamics and look at our societies and economies from a very different angle (based on the work of François Roddier, a French astronomer - look for ways to create teams (with expertise on math, physics, economics... skills I unfortunately lost on my journey because I was reading more about the human factor) and make/find money to fund that !
Contact
- Location: Paris, France
- Twitter URL: https://twitter.com/IonGradea
- LinkedIn URL: https://www.linkedin.com/in/ion-gradea-2aba1443/
Ronald Tombe (Kisii University)
Short Bio
Dr. Ronald Tombe holds a Ph.D. in Computer Science from the University of KwaZulu-Natal, South Africa, 2021, an MSc. in Software Engineering in 2015, and a BSc. in Information and Technology in 2009, both from Jomo Kenyatta University of Agriculture & Technology, Kenya. Dr. Ronald has published research articles in high-impact factor journals and international conferences. His research interests are artificial intelligence, computer vision, machine learning, and human-centered interaction in respect of providing solutions in the agricultural sector that improve extension service delivery for indigenous communities. Dr. Ronald is a journal reviewer for Transactions on Geoscience and Remote Sensing (IEEE), Geoscience and Remote Sensing Letters (IEEE), Canadian Journal of Remote Sensing, and International Journal of Computer Vision (IGI-Global). He is also a Lecturer at Kisii University, a Research Fellow at FAR-LeaF, university of Pretoria, and the Program Coordinator for Africa Institute of Indigenous Knowledge System (AIIKS) Node at Kisii University.
Interests/Experience
- Areas of Interest: Agriculture, Computer vision and remote sensing, Data mining, Human-computer Interaction
- Areas of Experience: Computer vision and remote sensing, Data mining
Seeking/Offering
- Seeking: Funding, Lacuna Fund Collaborations, Mentorship
Contact
- Location: Kenya
- Email: ronaldtombe@gmail.com
Jeff Clark (University of Bristol)
Short Bio
Postdoc interested in collaboratively applying AI for people & planet. Particularly interested in initiating policy-centric collaborations but open to anything.
Interests/Experience
- Areas of Interest: Climate finance, Climate justice, Policy
- Areas of Experience: Classification, regression, and supervised learning, Human-computer Interaction, Interpretable ML, Time-series analysis
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Location: Bristol, UK
- Website: https://www.thesavvyscientist.com
- LinkedIn URL: https://www.linkedin.com/in/jeffnc/
- Circle URL: https://community.climatechange.ai/u/1bfd1516
Shiwaditya (MIT World Peace University (MIT-WPU), Pune, India)
Short Bio
A passionate and driven computer science student with a strong foundation in Artificial Intelligence, Machine Learning and Data Analysis. Eager to learn from industry experts and contribute to innovative initiatives within a professional environment.
Interests/Experience
- Areas of Interest: Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Classification, regression, and supervised learning, Computer vision and remote sensing, Time-series analysis, Unsupervised and semi-supervised learning
- Areas of Experience: Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Classification, regression, and supervised learning, Time-series analysis, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Employment opportunities, Internships, Networking, Research collaborations
- Offering: Data, Networking, Research collaborations
Contact
- Location: Pune, India
- Email: shiwaditya123@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/shiwaditya01/
Art Prateepvanich (Paraclimate)
Short Bio
Advisor/Angel Investor focussed on new product opportunities in analytics, data and energy. Experienced in commercializing B2B data/AI/analytics products. Can advise on market discovery and sizing, pitches, B2B sales, data pipelines, commercializing machine learning, measurement and marketplace products, communications and marketing strategy.
Interests/Experience
- Areas of Interest: Behavioral and social science, Buildings and cities, Industry, Power and energy, Transportation, Causal and Bayesian methods, Classification, regression, and supervised learning, Unsupervised and semi-supervised learning
- Areas of Experience: Industry
Seeking/Offering
- Seeking: Data, Funding, Networking, Paid consulting, Pro-bono consulting, Startup co-founder
- Offering: Funding, Mentorship, Paid consulting, Pro-bono consulting, Startup co-founder
Contact
- Location: Oakland, CA
- Email: art@paraclimate.com
- Website: https://www.paraclimate.com
- Twitter URL: https://twitter.com/greenwashalert
- LinkedIn URL: https://www.linkedin.com/in/art-prateepvanich/
Pankaj (AWS Amazon)
Contact
- Email: sehgal_pankaj@yahoo.com
- LinkedIn URL: https://www.linkedin.com/in/psehgal30/
Kennedy Kamande Wangari (The United Nations)
Short Bio
Machine Learning Researcher 📈 🇺🇳 ❙❙ Technology Policy Analyst⚖️📊 ❙❙ Technology Columnist 📰✍️
Interests/Experience
- Areas of Interest: Climate finance, Forestry and other land use, Policy, Computer vision and remote sensing, Time-series analysis
- Areas of Experience: Climate finance, Disaster prediction, management, and relief, Policy, Classification, regression, and supervised learning, Computer vision and remote sensing, Natural language processing, Time-series analysis
- Additional details: Kennedy Kamande is a seasoned Machine Learning Researcher, Technology Columnist, and Policy Analyst at the forefront of climate action and digital empowerment. He envisions a future where AI and emerging technologies are central to tackling climate challenges, empowering youth, and fostering resilient communities dedicated to a sustainable, green and equitable world. His career includes notable positions with UNEP, NVIDIA, Xetova, and NCBA Bank, where he has focused on developing data-driven products and strategies across diverse sectors, including marketing, supply chain, environment and finance. Kennedy’s research spans the governance of global digital platforms, algorithmic content moderation, and data governance across Africa. His work is dedicated to enhancing institutional resilience, fostering public trust, and contributing to adaptive, inclusive digital governance policies that are centered on people and communities. As a Technology Columnist, Kennedy has published over 40 articles in leading Kenyan Newspapers, including, the Daily Nation, Business Daily, People Daily, the Standard, and the Star. His work covers a broad spectrum of ICT topics, including robotics, AI, data science, digital platform governance, data privacy, 5G, big data, cybersecurity, cloud computing, and quantum computing. His extensive portfolio can be found on ( https://muckrack.com/kennedykwangari ) Dedicated to Africa’s digital empowerment, Kennedy is preparing the continent for AI readiness. His efforts have significantly improved technology literacy and education within underserved communities, having empowered over 17,000 learners through one-year data education scholarships from DataCamp and Coursera. Through these initiatives, Kennedy is advancing data literacy and developing critical AI skills, connecting African learners to the future of global technology.
Seeking/Offering
- Seeking: Employment opportunities, Lacuna Fund Collaborations, Networking, Research collaborations, Startup co-founder
- Offering: Mentorship, Data, Employment opportunities, Research collaborations
Contact
- Location: Gigiri, Nairobi, Kenya
- Email: kennedykwangari@gmail.com
- Website: https://kennedykwangari.github.io/
- Twitter URL: https://twitter.com/kennedykwangari
- LinkedIn URL: https://www.linkedin.com/in/kennedykwangari/
- Circle URL: https://kennedykwangari.github.io/
Rebecca Willett (University of Chicago)
Interests/Experience
- Areas of Interest: Hybrid physical models
- Areas of Experience: Computer vision and remote sensing
Contact
- Location: Chicago, IL
- Email: willett@uchicago.edu
- Website: https://willett.psd.uchicago.edu/
- Twitter URL: https://twitter.com/AI_and_Science
Bharathan Balaji (Amazon)
Short Bio
Applied Scientist at Amazon Sustainability. Focus on life cycle assessment and climate change risk assessment.
Interests/Experience
- Areas of Interest: Buildings and cities, Climate and Earth science, Industry, Classification, regression, and supervised learning, Reinforcement learning and control
- Areas of Experience: Buildings and cities, Classification, regression, and supervised learning, Reinforcement learning and control
Seeking/Offering
- Seeking: Data, Research collaborations
- Offering: Employment opportunities, Funding, Internships, Paid consulting
Contact
- Location: Seattle
- Email: bhabalaj@amazon.com
- Website: https://scholar.google.com/citations?user=F0JrXQIAAAAJ&hl=en
- LinkedIn URL: https://www.linkedin.com/in/bharathanbalaji/
Shuo Wang (Beijing Normal University)
Interests/Experience
- Areas of Interest: Computer vision and remote sensing, Time-series analysis
- Areas of Experience: Hybrid physical models, Data mining, Computer vision and remote sensing
Seeking/Offering
- Seeking: Networking, Mentorship, Employment opportunities, Internships, Research collaborations, Academic positions
- Offering: Data, Research collaborations
Contact
- Location: Beijing
- Email: shawnwang.tech@gmail.com
- Website: https://scholar.google.com/citations?user=xmWZWwoAAAAJ&hl
Michail Mitsakis
Short Bio
Motivated engineering graduate experienced in and passionate about sustainable energy solutions. Specialized in green hydrogen, Power-to-X, electrochemistry and machine learning for materials optimization. Goal-driven and excels in a collaborative environment. Seeking to expand my skillset and contribute to the green transition, while finding creative solutions to complex problems.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Industry, Policy, Power and energy, Societal adaptation, Transportation, Active learning, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Generative modeling, Human-computer Interaction, Hybrid physical models, Interpretable ML, Time-series analysis
- Areas of Experience: Carbon capture and sequestration, Power and energy, Active learning, Causal and Bayesian methods, Computer vision and remote sensing, Interpretable ML
- Additional details: I am highly interested in applying materials optimization libraries utilizing Bayesian methods, such as Ax or BayBE, to solve real-life problems.
Seeking/Offering
- Seeking: Data, Employment opportunities, Internships, Mentorship, Networking
- Offering: Data, Mentorship, Networking, Research collaborations
Contact
- Location: Athens, Greece
- Email: mitsakismichail@gmail.com
- Website: https://github.com/michailmitsakis
- LinkedIn URL: https://www.linkedin.com/in/michail-mitsakis/
Lee Wall (Florida State University)
Short Bio
Hey! I recently graduated with my B.S. in Applied & Computational Mathematics from Florida State University, and am looking for opportunities of any kind at the intersection of math and environmental science. I'm interested in both mechanistic models of complex global systems (i.e. rooted in first principles considerations from math and physics) and the black-box models of AI and data science, especially to the extent that they can inform each other. We're all just trying to find our way out of this mess, so don't hesitate to reach out, even if you just want to chat!
Interests/Experience
- Areas of Interest: Buildings and cities, Carbon capture and sequestration, Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Power and energy, Transportation, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Generative modeling, Hybrid physical models, Interpretable ML, Natural language processing, Reinforcement learning and control, Time-series analysis, Uncertainty quantification and robustness, Unsupervised and semi-supervised learning
- Areas of Experience: Climate and Earth science, Ecosystems and natural resources, Causal and Bayesian methods, Classification, regression, and supervised learning, Hybrid physical models, Reinforcement learning and control, Time-series analysis, Unsupervised and semi-supervised learning
- Additional details: Self-taught AI hobbyist looking to learn more. Equally interested in the mathematical underpinnings of AI algorithms and their practical implementation.
Seeking/Offering
- Seeking: Academic positions, Employment opportunities, Internships, Mentorship, Networking, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Location: Tallahassee, FL
- Email: lmw17@my.fsu.edu
- LinkedIn URL: https://www.linkedin.com/in/lee-wall-09a38122b/
Shalabh Vidyarthi (Amazon)
Interests/Experience
- Areas of Interest: Power and energy, Transportation, Interpretable ML, Reinforcement learning and control
Seeking/Offering
- Seeking: Networking, Startup co-founder
- Offering: Networking
Lee Jaehyeong (None)
Short Bio
I have huge interest and feel responsibility in Climate Change. Thoguh I think I am an amatur in AI, I will be a person who can make impact on climate change by ML.
Interests/Experience
- Areas of Interest: Climate and Earth science, Industry, Power and energy, Classification, regression, and supervised learning, Time-series analysis
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing, Natural language processing
Seeking/Offering
- Seeking: Employment opportunities, Internships, Mentorship, Networking, Research collaborations
- Offering: Academic positions, Research collaborations
Contact
- Location: South Korea
- Email: dlwoguddd@gmail.com
Kalyan Nadimpalli (International Institute of Information Technology, Bangalore)
Short Bio
I'm an Integrated Masters student in CS, particularly interested in AI and am passionate about helping in the struggle towards stopping climate change.
Interests/Experience
- Areas of Interest: Classification, regression, and supervised learning, Reinforcement learning and control, Forestry and other land use, Climate and Earth science, Computer vision and remote sensing
- Areas of Experience: Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Natural language processing, Reinforcement learning and control
Seeking/Offering
- Seeking: Mentorship, Networking, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Email: kalyan.varma@iiitb.ac.in
- Circle URL: https://community.climatechange.ai/u/ce15336a
Aaron Wienkers (University of Cambridge)
Short Bio
> > {Computational Flow Physicist ⊗ Geophysical Scientist && HPC Developer ∩ Mathematician} ++ Modelling & understanding the ocean submesoscales/turbulence — where global models fail... ++ Developing high-performance numerical simulations to help climate models "see" unresolved scales ☞ Seeking a challenging opportunity to leverage extensive experience in numerical/computational modelling of the ocean-atmosphere system to help mitigate climate change impacts.
Interests/Experience
- Areas of Interest: Climate and Earth science, Generative modeling, Hybrid physical models, Time-series analysis
- Areas of Experience: Climate and Earth science, Hybrid physical models
Seeking/Offering
- Seeking: Employment opportunities
- Offering: Data, Mentorship
Contact
- Location: Zurich, Switzerland
- Website: https://wienkers.com
- LinkedIn URL: https://www.linkedin.com/in/aaronwienkers/
Mariam samy mekhaiel (Egyptian Russian university )
Short Bio
I am an AI student at Egyptian Russian university. I graduated from English language school and have experience in teamwork and leadership.
Interests/Experience
- Areas of Interest: Disaster prediction, management, and relief, Power and energy, Active learning, Computer vision and remote sensing
- Areas of Experience: Active learning, Computer vision and remote sensing, Natural language processing
- Additional details: AI student at Egyptian Russian university, I get training at machine learning and python and other fields. I have experience in teamwork and leadership
Seeking/Offering
- Seeking: Data, Employment opportunities, Internships, Networking
- Offering: Data, Networking
Contact
- Location: Egypt
- Email: mariamsamy377@gmail.com
Abhi Suri (Hitachi Vantara )
Interests/Experience
- Additional details: ESG/Sustainability - Climate Technology
Seeking/Offering
- Seeking: Research collaborations
- Offering: Research collaborations
Contact
- Location: Reston, Virginia
- Email: Abhi.Suri@HitachiVantara.com
- Website: https://www.hitachi.com/sustainability/
- LinkedIn URL: https://www.linkedin.com/in/dcabhi/
Geneviève Patterson (Visual Supply Company (VSCO))
Short Bio
I'm the Head of Applied Research @ VSCO and I'm co-developing the CCAI Course for Summer School 2022. Before joining VSCO, I was CTO of the TRASH app. Before that I was a Postdoctoral Researcher at Microsoft Research New England. My work is about creating dialog between AI and people. My interests include video understanding, visual attribute discovery, human-in-the-loop systems, fine-grained object recognition, AI for climate science, and active learning. I received my PhD from Brown University in 2016 under the direction of James Hays.
Contact
- Email: genevieve@climatechange.ai
- Website: https://genp.github.io
- Twitter URL: https://twitter.com/genevievemp
- LinkedIn URL: https://www.linkedin.com/in/genevi%C3%A8ve-p-2a380895/
- Circle URL: https://community.climatechange.ai/u/c487b087
Louis Petit (Université de Sherbrooke)
Short Bio
I'm a Professor in Robotics Engineering at the Université de Sherbrooke. My current research focuses on developing efficient behaviors and strategies to endow autonomous mobile robots with intelligence and environmental awareness for applications in safety, maintenance, and conservation. My research involves a combination of robotics techniques (e.g., path planning, optimization, decision-making, machine learning, computer vision). I aim to contribute to the advancement of the field by designing and optimizing novel algorithms and models that enable robots to perform complex tasks in real-world environments. By addressing challenges related to efficiency, robustness, and safety, I hope to enable the widespread use of intelligent robots in diverse applications, from aiding society (e.g., search and rescue, infrastructure inspection, advanced driver assistance systems) to fostering sustainable development (e.g., seabed mapping, invasive species and endangered plants monitoring). In the short term, I want to work on interactions within a team of multi-configuration robots (aerial, terrestrial, marine and underwater) to better understand natural ecosystems.
Interests/Experience
- Areas of Interest: Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Active learning, Computer vision and remote sensing, Reinforcement learning and control
- Areas of Experience: Active learning, Classification, regression, and supervised learning, Computer vision and remote sensing, Human-computer Interaction, Meta- and transfer learning, Reinforcement learning and control, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Funding, Research collaborations
- Offering: Employment opportunities, Internships, Mentorship, Research collaborations
- Additional details: Looking for partners (in conservation, biology, national parks, etc) and funding opportunities to build robots that are capable to understand and map the ecosystems! Hiring PhD students.
Contact
- Location: Canada
- Email: louis.petit@usherbrooke.ca
- Website: https://www.edu.louispetit.be
- LinkedIn URL: https://www.linkedin.com/in/louis-petit/
CHIFUNDO ROBERT (YOFONAT)
Short Bio
I am an economist, environmental consultant, researcher, and youth advocate with a strong focus on climate change. Additionally, I serve as a member of the Commonwealth Youth Delegates representing Malawi, the Regional Coordinator for the Southern African Non-Aligned Movement Youth Organization, and the Executive Director for a local youth-led organization called #YOFONAT.
Contact
- Location: Lilongwe, Malawi
- Email: chifundorobert03@gmail.com
Carl Boettiger (UC Berkeley)
Short Bio
Assistant professor in Environmental Science, Policy, and Management at UC Berkeley. Interested in ecological systems, natural resource management, and possible applications of Deep Reinforcement Learning to conservation and management. Also interested in issues of ethics and power arising from algorithmic approaches to conservation.
Interests/Experience
- Areas of Interest: Ecosystems and natural resources, Forestry and other land use, Reinforcement learning and control, Uncertainty quantification and robustness
- Areas of Experience: Ecosystems and natural resources, Reinforcement learning and control, Time-series analysis
Seeking/Offering
- Seeking: Research collaborations
- Offering: Data, Employment opportunities, Research collaborations
Contact
- Email: cboettig@berkeley.edu
- Website: https://carlboettiger.info
- Twitter URL: https://twitter.com/cboettig
- LinkedIn URL: https://www.linkedin.com/in/cboettig/
Salem Afeworki (Value Sustainability)
Short Bio
Influential thought leader and practitioner with 16 years of experience in sustainability and renewable energy planning, stakeholder engagement, responsible business practices, and climate change services in four continents.
Interests/Experience
- Areas of Interest: Behavioral and social science, Buildings and cities, Carbon capture and sequestration, Policy, Power and energy
- Areas of Experience: Climate and Earth science, Policy, Power and energy
Seeking/Offering
- Seeking: Data, Networking, Paid consulting, Pro-bono consulting, Research collaborations, Startup co-founder
- Offering: Networking, Pro-bono consulting, Research collaborations
Contact
- Location: California, USA
- Email: safeworki@valuesustainability.com
- Website: https://valuesustainability.com
- LinkedIn URL: https://www.linkedin.com/in/salemafeworki/
Ivan Tigana
Interests/Experience
- Areas of Interest: Agriculture, Behavioral and social science, Buildings and cities, Carbon capture and sequestration, Climate and Earth science, Climate finance, Climate justice, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Industry, Policy, Power and energy, Societal adaptation, Transportation
- Areas of Experience: Industry
Seeking/Offering
- Seeking: Data, Employment opportunities, Funding, Networking, Paid consulting, Startup co-founder
- Offering: Mentorship, Networking, Paid consulting, Research collaborations, Startup co-founder
Contact
- Location: Indonesia
- Email: ivantigana@sekala.eco
- LinkedIn URL: https://www.linkedin.com/in/ivantigana/
Bingbing Zhao (central south university)
Interests/Experience
- Areas of Interest: Climate and Earth science, Transportation, Classification, regression, and supervised learning, Data mining, Time-series analysis
- Areas of Experience: Transportation, Data mining
- Additional details: Geographical information systems, urban form and transportation, transport emission,urban carbon emissions
Contact
- Location: China
- Email: zbingbing@csu.edu.cn
Ejim-Eze Emmanuel (National Centre for Tecnology Management)
Short Bio
Emmanuel is a researcher, consultant, and member of governing boards in private/non=profit organizations wit great interest in sustainability, Eco-innovation, climate science research, adaptation and mitigation, and artificial science
Interests/Experience
- Areas of Interest: Agriculture, Carbon capture and sequestration, Climate and Earth science, Ecosystems and natural resources, Forestry and other land use, Industry, Policy, Power and energy, Societal adaptation, Transportation, Computer vision and remote sensing, Data mining, Time-series analysis, Uncertainty quantification and robustness
- Areas of Experience: Behavioral and social science, Ecosystems and natural resources, Industry, Policy
Seeking/Offering
- Seeking: Academic positions, Data, Employment opportunities, Funding, Lacuna Fund Collaborations, Networking, Paid consulting, Research collaborations, Startup co-founder
- Offering: Employment opportunities, Internships, Lacuna Fund Collaborations, Mentorship, Paid consulting, Research collaborations, Startup co-founder
- Additional details: I seek new knowledge, partnerships,and collaborations
Contact
- Location: Nigeria
- Email: ezeigwe1949@gmail.com
Bashir Olalekan Abubakar
Short Bio
As an Applied Artificial Intelligence student with a profound passion for harnessing AI in combating climate change, my academic and research endeavors are deeply rooted in the synergy of technology and environmental sustainability. This passion was further highlighted by my involvement in COP28 UAE Dubai, a critical international event that brings together leaders, experts, and innovators to discuss and devise actionable strategies against the climate crisis. This opportunity not only expanded my knowledge of global environmental challenges but also solidified my conviction in the power of AI as a pivotal tool for environmental protection and climate mitigation. Focused on pioneering AI solutions to forecast, adapt to, and reduce greenhouse gas emissions, I am committed to contributing to a sustainable future through technological breakthroughs and cross-disciplinary efforts. Driven by the vision that AI can unveil unparalleled paths for conservation and climate initiatives, I aspire to lead in this transformative journey towards a more sustainable planet.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Climate and Earth science, Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use, Power and energy, Causal and Bayesian methods, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Time-series analysis, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Data, Employment opportunities, Internships, Mentorship, Networking, Research collaborations
Contact
- Location: United Kingdom
- Email: bashir.abubakar2009@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/bashir-abubakar-61935417b/
Shankar Vaidhyanathan (Environmental Resources Management/ Colorado School of Mines)
Short Bio
Air Quality Engineer. Passionate about Carbon Accounting, Carbon Capture (geological and non geological), Methane, Low Carbon Energy Transition.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Industry, Active learning, Data mining, Generative modeling
- Areas of Experience: Carbon capture and sequestration, Climate and Earth science, Industry, Policy
Seeking/Offering
- Seeking: Data, Employment opportunities, Networking, Pro-bono consulting, Research collaborations
- Offering: Mentorship, Networking, Pro-bono consulting, Research collaborations
Contact
- Location: Austin
- Email: shankvaid@gmail.com
- Twitter URL: https://twitter.com/shankvaid?t=bOuPSyrXOiaoCqWrvXCU8Q&s=08
- LinkedIn URL: https://www.linkedin.com/in/shankar-vaidhyanathan-17270619
Madhurima Sarkar-Swaisgood (United Nations, ESCAP)
Short Bio
With over 16 years of experience in disaster and climate management and public health, I am the Deputy Chief of Section of Disaster Risk Reduction at the United Nations, ESCAP where I lead policy and research analysis in anticipatory actions for climate change, disaster risk reduction, and using AI/ML for climate resilience.
Interests/Experience
- Areas of Interest: Climate and Earth science, Disaster prediction, management, and relief, Power and energy, Societal adaptation, Classification, regression, and supervised learning, Generative modeling
- Areas of Experience: Climate and Earth science, Disaster prediction, management, and relief, Societal adaptation, Active learning
Contact
- Location: United States
- Email: sarkar-swaisgood@un.org
Santosh Sharma (University of Central Florida)
Short Bio
I am a PhD student at UCF. I am interested in applying mathematical optimization (decentralized and distributed algorithms) in multi-energy systems.
Interests/Experience
- Areas of Interest: Carbon capture and sequestration, Disaster prediction, management, and relief, Power and energy, Transportation
- Areas of Experience: Disaster prediction, management, and relief, Power and energy
Seeking/Offering
- Seeking: Employment opportunities, Funding, Networking, Research collaborations
Contact
- Email: sharma_santosh23@knights.ucf.edu
- LinkedIn URL: https://www.linkedin.com/in/santosh-sharma-51a762156
Luis Blanche (MSc)
Short Bio
I work as a Lead Data Scientist in an startup that develops a AI Monitoring solution for industrial food and beverages processing lines. I am always looking for ways to invest my skills into the fight against CC
Interests/Experience
- Areas of Interest: Agriculture, Climate and Earth science, Forestry and other land use, Industry, Transportation, Causal and Bayesian methods, Computer vision and remote sensing, Interpretable ML, Time-series analysis
- Areas of Experience: Industry, Transportation, Classification, regression, and supervised learning, Data mining, Interpretable ML, Natural language processing, Time-series analysis, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Data, Employment opportunities, Networking
- Offering: Employment opportunities, Internships, Research collaborations
Contact
- Location: France
- Email: luis.a.blanche@gmail.com
- LinkedIn URL: https://www.linkedin.com/in/luisblanche/
- Circle URL: https://community.climatechange.ai/settings/profile
Nantas Nardelli (Carbon Re)
Interests/Experience
- Areas of Interest: Industry, Reinforcement learning and control
- Areas of Experience: Industry, Reinforcement learning and control
Seeking/Offering
- Offering: Employment opportunities, Internships, Mentorship, Pro-bono consulting, Research collaborations
Contact
- Location: London, UK
- Website: https://www.robots.ox.ac.uk/~nantas
- Twitter URL: https://twitter.com/nntsn
- LinkedIn URL: https://linkedin.com/nnardelli
- Circle URL: https://community.climatechange.ai/u/b1af1eac
Andre L. Belem (Universidade Federal Fluminense)
Short Bio
I am currently a professor of Physical Oceanography and Earth Sciences at the Fluminense Federal University in Rio de Janeiro, and I continue my research on paleoceanography, climate change and ocean-atmosphere dynamics, specializing in time series analysis techniques and the role of ocean and cryosphere through the orbital and geological scales.
Interests/Experience
- Areas of Interest: Climate and Earth science, Classification, regression, and supervised learning, Time-series analysis, Uncertainty quantification and robustness
- Areas of Experience: Agriculture, Climate and Earth science, Data mining, Time-series analysis, Uncertainty quantification and robustness
- Additional details: Provide knowledge and teach programming (python!) to as many people as possible.
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Data, Internships, Mentorship
Contact
- Location: Niteroi, RJ BRAZIL
- Email: andrebelem@id.uff.br
- Website: https://www.researchgate.net/profile/Andre-Belem
- Twitter URL: https://twitter.com/andrelbelem
- LinkedIn URL: https://www.linkedin.com/in/andre-l-belem/
Jesús M. Siqueiros (IIMAS-UNAM)
Short Bio
I work at the Applied Mathematics and Systems Research Institute, UNAM, México. My background is in Anthropology and Philosophy of Biology. I have experience articulating qualitative methods and computational modelling (Complex Networks and ABMs). My main focus of interest is participatory modelling to address sustainability issues with vulnerable groups, especially in their appropriation of AI technology. I am also interested in finding ways of representing data to non-literate populations for their use.
Interests/Experience
- Areas of Interest: Behavioral and social science, Buildings and cities, Climate and Earth science, Climate justice, Societal adaptation, Causal and Bayesian methods, Generative modeling, Human-computer Interaction
- Areas of Experience: Behavioral and social science, Societal adaptation
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Internships, Mentorship, Research collaborations
Contact
- Location: Mérida, Yucatán
- Email: jmario.siqueiros@iimas.unam.mx
Maria João Sousa (IST, ULisboa)
Interests/Experience
- Areas of Interest: Disaster prediction, management, and relief, Ecosystems and natural resources, Forestry and other land use
- Areas of Experience: Disaster prediction, management, and relief, Classification, regression, and supervised learning, Computer vision and remote sensing, Data mining, Interpretable ML, Reinforcement learning and control, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Mentorship, Networking, Research collaborations
Contact
- Location: Lisbon, Portugal
- LinkedIn URL: https://www.linkedin.com/in/mariajoaosousa/