Iâm 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 | đ€ | Name | Affiliation | Location | Short Bio | Links | Interests/Experience | Seeking/Offering |
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2022-05-16
|
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Suraj Prasad
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Pittsburgh, USA / New Delhi, India
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2022-05-15
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Nikhil S Bhat
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HCC, Mumbai
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Mumbai, Maharashtra, India
|
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2022-05-14
|
|
Rory Hooper
|
TU Delft
|
The Netherlands
|
||||
2022-05-14
|
|
John Musau
|
Machakos University
|
Machakos, Kenya
|
||||
2022-05-12
|
|
Zachary Labe
|
Princeton University & NOAA GFDL
|
Princeton, NJ
|
||||
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
|
|
Akansha Singh Bansal
|
CIRA Colorado & NSF AI2ES
|
San Francisco, CA
|
||||
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 LiĂšge
|
LiĂšge, 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
|
BogotĂĄ, Colombia
|
|||||
2021-11-03
|
|
Jairo Torregrosa
|
Colombia
|
|||||
2021-11-02
|
|
Maria JoĂŁo 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
|
||||
2021-09-24
|
|
Alireza Shams
|
Process Data Scientist at Svante Inc.
|
|||||
2021-09-23
|
|
Galen Vincent
|
Carnegie Mellon University
|
Pittsburgh, PA
|
||||
2021-09-22
|
|
Andrea
|
Stevens Institute of Technology
|
Mexico City
|
||||
2021-09-22
|
|
Quentin Paletta
|
University of Cambridge
|
Cambridge, UK
|
||||
2021-09-21
|
|
Sebastian Romero
|
Tracks GmbH
|
Berlin
|
||||
2021-09-21
|
|
Ish Girwan
|
UK
|
|||||
2021-09-21
|
|
Garrett Kinman
|
McGill University
|
Montreal, QC, Canada
|
||||
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
|
|
Sophie Purdom
|
Climate Tech VC
|
NY
|
||||
2021-09-21
|
|
Paul Christopher Ulrich
|
Consultant
|
New Haven, CT
|
||||
2021-09-13
|
|
Sara El Mekkaoui
|
Ecole Mohammadia d'Ingénieurs, Mohammed V University in Rabat
|
Rabat, Morocco
|
||||
2021-09-13
|
|
Abhishek Bhan
|
Apple, Columbia University
|
San Fransisco Bay Area
|
||||
2021-09-09
|
|
Shanti
|
UMich
|
MI
|
||||
2021-09-09
|
|
Zane Selvans
|
Catalyst Cooperative
|
Guanajuato, Mexico
|
||||
2021-09-09
|
|
Javed Ali
|
University of Central Florida
|
|||||
2021-09-03
|
|
Olga Mierzwa-Sulima
|
||||||
2021-09-03
|
|
Neha Puri
|
Faculty AI
|
London, UK
|
||||
2021-09-03
|
|
Michael Orimogunje
|
University of Huddersfield
|
United Kingdom
|
||||
2021-09-03
|
|
Alan Cordova
|
Fluence Energy
|
San Francisco, CA
|
||||
2021-09-03
|
|
Brian Kent
|
The Crosstab Kite
|
|||||
2021-09-02
|
|
Andy Chen
|
Afresh Technologies, Stanford Food Design
|
|||||
2021-09-01
|
|
Lynn Kaack
|
Hertie School
|
|||||
2021-08-27
|
|
Olivier Asselin
|
Ouranos, Montreal (CA)
|
|||||
2021-08-27
|
|
Csaba BĂĄn
|
Bosch, ADAS Software Engineer
|
|||||
2021-08-25
|
|
Kasia Tokarska
|
ETH Zurich (former postdoc)
|
|||||
2021-08-23
|
|
Tushar Gupta
|
||||||
2021-08-20
|
|
Kalyan Nadimpalli
|
International Institute of Information Technology, Bangalore
|
|||||
2021-08-20
|
|
Diego Kiedanski
|
Tryolabs
|
|||||
2021-08-18
|
|
Asmaa
|
Vodafone
|
|||||
2021-08-18
|
|
Jakob Heller
|
deeeper.technology GmbH
|
|||||
2021-08-18
|
|
Peter Dolan
|
Waymo
|
|||||
2021-08-13
|
|
Kiana Alikhademi
|
PhD student at the University of Florida
|
|||||
2021-08-13
|
|
Rama Ramakrishnan
|
MIT
|
|||||
2021-08-12
|
|
Marcus Voss
|
TU Berlin, Birds on Mars
|
|||||
2021-08-10
|
|
Nandakumar Krishnaswamy
|
||||||
2021-08-10
|
|
Carl Boettiger
|
UC Berkeley
|
|||||
2021-08-09
|
|
Anson Ho
|
University of St Andrews
|
|||||
2021-08-09
|
|
Negin Katal
|
Max Planck Institute for Biogeochemistry
|
|||||
2021-08-07
|
|
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-Ăngel FernĂĄndez-Torres
|
Image and Signal Processing (ISP) Group, Image Processing Laboratory (IPL), Universitat de ValĂšncia, Spain
|
|||||
2021-08-05
|
|
GeneviĂšve 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
|
|||||
2021-08-02
|
|
Gang Huang
|
Zhejiang Lab
|
|||||
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
|
|
Ding Ning
|
University of Canterbury
|
|||||
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
|
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
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
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/
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
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/
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
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
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
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/
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/
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/
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: BogotĂĄ, 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
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
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 Microsoftâs 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
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/
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/
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, 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, Reinforcement learning and control
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
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/
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 Developerâs 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 Developerâs 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/
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/
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/
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/
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 (CIRA Colorado & NSF AI2ES)
Short Bio
Developing self-supervised machine learning models using satellite data for different applications.
Interests/Experience
- Areas of Interest: Unsupervised and semi-supervised learning, Computer vision and remote sensing
- Areas of Experience: Power and energy, Computer vision and remote sensing, Unsupervised and semi-supervised learning
Seeking/Offering
- Seeking: Employment opportunities, Research collaborations
Contact
- Location: San Francisco, CA
- Email: akansha.singh803@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/
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/
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
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 organizationsâ 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/
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/
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
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/
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
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/
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 (Ecole Mohammadia d'Ingénieurs, Mohammed V University in Rabat)
Short Bio
PhD student in Machine Learning for Maritime Logistics, interested in Blue Shipping.
Interests/Experience
- Areas of Interest: Classification, regression, and supervised learning, Interpretable ML
- Areas of Experience: Transportation, Industry
Seeking/Offering
- Seeking: Networking, Research collaborations
- Offering: Networking
Contact
- Location: Rabat, Morocco
- Email: saraelmekkaoui@research.emi.ac.ma
- Twitter URL: https://twitter.com/saraelmekkaoui
- LinkedIn URL: https://www.linkedin.com/in/sara-el-mekkaoui-2518a614/
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/
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
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/
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
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
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/
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/
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/
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
Yan Xia (Zhejiang Univerisity)
Contact
- Email: xy787933846@163.com
- Website: https://sites.google.com/view/yanxia
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
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
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/
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://sites.uci.edu/zlabe
- Twitter URL: https://twitter.com/ZLabe
- LinkedIn URL: https://www.linkedin.com/in/zacharylabe/
- Circle URL: https://community.climatechange.ai/u/d0b97ee3
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 LiĂšge)
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: LiĂšge, 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
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/
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/
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
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
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
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
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
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/
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
Gang Huang (Zhejiang Lab)
Short Bio
I am a Research Fellow at Zhejiang Lab. I completed the doctoral training at Zhejiang University and Argonne National Laboratory. My research interests lie at the intersection of electrical engineering, operations research, and computer science. A common thread in my research is in designing reliable and computationally efficient algorithms for mission-critical tasks.
Interests/Experience
- Areas of Interest: Hybrid physical models, Data mining, Power and energy, Transportation, Classification, regression, and supervised learning, Reinforcement learning and control, Disaster prediction, management, and relief, Policy
Seeking/Offering
- Seeking: Research collaborations
- Offering: Employment opportunities, Research collaborations
Contact
- Email: huanggang@zju.edu.cn
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
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
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/
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 (University of Cambridge)
Interests/Experience
- Areas of Interest: Power and energy, Computer vision and remote sensing
- Areas of Experience: Power and energy, Computer vision and remote sensing
Contact
- Location: Cambridge, UK
- Email: qp208@cam.ac.uk
- Twitter URL: https://twitter.com/QuentinPaletta
- LinkedIn URL: https://www.linkedin.com/in/quentin-paletta-3855b412b/
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/
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
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/
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
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/
Alireza Shams (Process Data Scientist at Svante Inc.)
Short Bio
Ph.D. in Chemical Engineering with over 15 years of experience as a process specialist, consultant, and researcher in energy, acid gas removal & CO2 capture, materials, liquid-crystal polymers, petrochemical, 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: R&D 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
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
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
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/
Javed Ali (University of Central Florida)
Short Bio
I am a Water Resources Engineer and Multi-hazards Researcher. Iâm pursuing a Ph.D. in Civil Engineering (Major: Water Resources Engineering) at the University of Central Florida (UCF). My work involves multi-hazards risk analysis and studying hydrometeorological extreme events and their interrelationships using machine learning and statistical methods.
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: Mentorship, Networking
Contact
- Email: javedali28@gmail.com
- Website: https://www.javedali.net/
- Twitter URL: https://twitter.com/javedali99
- LinkedIn URL: https://www.linkedin.com/in/javedali18/
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/
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/
Ding Ning (University of Canterbury)
Short Bio
I am a PhD student in computational and applied mathematics at the University of Canterbury. I am interested in machine learning for spatiotemporal anomaly forecasting.
Interests/Experience
- Areas of Interest: Climate and Earth science, Classification, regression, and supervised learning, Computer vision and remote sensing, Meta- and transfer learning, Unsupervised and semi-supervised learning
- Areas of Experience: Classification, regression, and supervised learning, Computer vision and remote sensing, Meta- and transfer learning
Seeking/Offering
- Seeking: Employment opportunities, Networking, Research collaborations
- Offering: Networking, Research collaborations
Contact
- Email: ding.ning@pg.canterbury.ac.nz
- LinkedIn URL: https://www.linkedin.com/in/ding-ning
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/
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
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
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 BĂĄn (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/
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
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-/
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 Iâve been working in data since then. Throughout my career, Iâve 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/
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/
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
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/
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 âAI for Goodâ, 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/
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/
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/
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
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/
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 â22. 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
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)âs 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 (Tryolabs)
Interests/Experience
- Areas of Interest: Agriculture, Buildings and cities, Climate finance, Power and energy, Reinforcement learning and control, Time-series analysis
- Areas of Experience: Power and energy, Reinforcement learning and control, Time-series analysis
Seeking/Offering
- Seeking: Mentorship, Networking, Research collaborations
- Offering: Mentorship, Research collaborations
Contact
- Email: dkiedanski@gmail.com
- Website: https://danski.xyz
- LinkedIn URL: https://www.linkedin.com/in/diego-kiedanski/
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
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/
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
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/
Miguel-Ăngel FernĂĄndez-Torres (Image and Signal Processing (ISP) Group, Image Processing Laboratory (IPL), Universitat de ValĂšncia, 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 ValĂšncia, 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
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
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
Anya Schukin
Short Bio
Iâm a Paris-based ML software engineer, originally from San Francisco. Masters in CS / AI from Ăcole 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
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/
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
Romuald P. SAWADOGO (Centre de Production; de Formation et d'Echanges Techniques (CEPROFET))
Short Bio
SpĂ©cialiste du dĂ©veloppement local et travaillant actuellement sur les questions de Climat-Environnement-CommunautĂ©s dĂ©pendantes des forĂȘts, je souhaite faire des relations avec des personnes plus expĂ©rimentĂ©es ou des structures partenaires en relation avec le sujet ci-dessus Ă©voquĂ©.
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 âMarine Perceptionâ at the German Research Center for Artificial Intelligence (DFKI) and since 2020, he leads the Competence Center âArtificial Intelligence for Environment and Sustainabilityâ. 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/
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
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
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/
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
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
GeneviĂšve 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
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/
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
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
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
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/
Maria JoĂŁo 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/