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.

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Our goal for this tool is to help users build connections, collaborations, and careers. If you have feedback or suggestions for improvements, please contact us at info@climatechange.ai!

Updated 🤖 Name Affiliation Location Short Bio Links Interests/Experience Seeking/Offering
2022-07-25
Pranoy Panda
Indian Institute of Technology Hyderabad
India
I am a Master's(by Research) student in the CS department and am currently working on interpretability in ML and understanding distribution shifts. I aspire to contribute to the cause of climate change, but currently not sure how
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science Computer vision and remote sensing Disaster prediction, management, and relief Interpretable ML
Areas of Experience:
Classification, regression, and supervised learning Interpretable ML
2022-07-24

Jeff Clark
University of Bristol
Bristol, UK
Postdoc interested in collaboratively applying AI for people & planet. Particularly interested in initiating policy-centric collaborations but open to anything.
Areas of Interest:
Climate finance Climate justice Policy
Areas of Experience:
Classification, regression, and supervised learning Human-computer Interaction Interpretable ML Time-series analysis
Seeking:
Networking Research collaborations
Offering:
Networking Research collaborations
2022-07-20
Catarina
Nature Research Centre
Portugal
Areas of Interest:
Carbon capture and sequestration Classification, regression, and supervised learning Computer vision and remote sensing Ecosystems and natural resources Unsupervised and semi-supervised learning
Areas of Experience:
Classification, regression, and supervised learning Ecosystems and natural resources Unsupervised and semi-supervised learning
2022-07-20

Hubert Kanyamahanga
ICRISAT
Dakar
A data-driven engineer who showcase himself as a keen learner. Enthusiastic about building fault-tolerant and robust data engineering pipelines. I have a keen interest towards analyzing data for pattern recognition and identification of interesting information. Venturing into this area further, I wish to utilize modern automated systems and machine learning techniques to help companies achieve their business success and become more profitable. Currently, I am working at ICRISAT as a Scientific Officer: Artificial Intelligence engineer to help the institution grow and evolve in providing profitable solutions/services in the agriculture sector.
2022-07-20
Himanshu Sharma
Pacific Northwest National Laboratory
Chicago, IL
I'm a research scientist at PNNL, my research focuses on developing advanced modeling and optimization based controls for complex physical systems and specifically building systems for resilience, sustainability, and energy efficiency. My research research interest includes Machine learning, Reinforcement Learning, Uncertainty quantification, Computational Fluid Dynamics, Dynamics and control for complex-physical systems such as energy systems & smart building systems.
Areas of Interest:
Buildings and cities Causal and Bayesian methods Climate and Earth science Interpretable ML Power and energy Reinforcement learning and control Uncertainty quantification and robustness
Areas of Experience:
Buildings and cities Classification, regression, and supervised learning Climate and Earth science Hybrid physical models Power and energy Reinforcement learning and control Uncertainty quantification and robustness
Seeking:
Networking Research collaborations
Offering:
Employment opportunities Internships Mentorship
2022-07-20
Gopinath Rajendiran
Atsuya Technologies
India
Currently, I am working on energy analytics and predictive maintenance of complex systems. Post-doctoral experience: I have worked on developing energy management strategies using non intrusive load monitoring (NILM) in buildings. I have developed decision support systems to monitor events and energy consumption of the electrical appliances/loads in a non-intrusive manner using machine learning/deep learning algorithms. The developed has product has also been tested successfully during various field trials and transferred the technology to industries. During my PhD, I have worked on developing fault diagnosis systems for electrical machines using machine learning and artificial intelligence techniques. My research focus was to learn the intelligence/knowledge from the proto-type system and then scale the model (transfer learning) to diagnose the faults in the actual/complex system, where the fault data samples are not easily available. My research interests include condition monitoring of engineering systems, vibration monitoring, predictive maintenance, energy management, signal processing, AI/machine learning, and data analytics.
Areas of Interest:
Buildings and cities Classification, regression, and supervised learning Industry Power and energy Time-series analysis Unsupervised and semi-supervised learning
Areas of Experience:
Buildings and cities Classification, regression, and supervised learning Power and energy Time-series analysis Unsupervised and semi-supervised learning

condition monitoring of engineering systems, vibration monitoring, predictive maintenance, energy management, signal processing, AI/machine learning, and data analytics.
Seeking:
Academic positions Data Employment opportunities Mentorship Networking Research collaborations
Offering:
Mentorship Networking Paid consulting Research collaborations
2022-07-08

Dilinna Nwobi
CPEEL
Nigeria
The Centre for Petroleum, Energy Economics and Law, fondly called CPEEL, is the pre-eminent Centre for graduate energy studies and contemporary energy research in Nigeria. CPEEL was established through the generous support of John. D. and Catherine T. MacArthur Foundation as a Regional Centre of Excellence. The main goal of the Centre is to train highly skilled personnel and conduct research on energy. The Centre was established, July 2011 and designed to strengthen the human capacity in sub-Saharan Africa’s energy sector. It was established as a Multidisciplinary Centre with the aim of bringing together energy professionals in the Sciences, Engineering, Law, Humanities, Social Sciences, and other related areas, in order to address energy issues in a holistic and collaborative manner. CPEEL covers all aspects of energy, including oil and gas, electricity, renewable, climate change, energy finance, regulations and energy contracts, rural energy and poverty, waste to energy as well as energy technology. The flagship of CPEEL is graduate training leading to the awards of Master and Doctorate degrees in Energy Studies and Energy Law as well as research on diverse energy issues. It is presently the only Centre of its kind in the African Region and maintains a cordial relationship with similar Energy Centres in Europe and America. CPEEL is also set to expand the scope of its responsibilities to community-based intervention. The Centre maintains extensive collaborations with various ministries, departments, agencies of government, local and international civil society organizations, development agencies, energy companies, research organizations, national assembly, and renowned global energy Centres.
Areas of Interest:
Power and energy
Areas of Experience:
Climate and Earth science Policy
Seeking:
Lacuna Fund Collaborations
Offering:
Lacuna Fund Collaborations
2022-07-08

Open Knowledge Foundation
Open Knowledge Foundation
Open Knowledge Foundation is a global non-profit organisation focused on realising open data’s value to society by helping individuals and organisations access and use data to take action on social problems.
Seeking:
Lacuna Fund Collaborations
2022-07-08

Greg Gerber
Quora
Colorado Springs, CO
Areas of Interest:
Agriculture Carbon capture and sequestration Ecosystems and natural resources Forestry and other land use Reinforcement learning and control Time-series analysis Transportation
Areas of Experience:
Classification, regression, and supervised learning Natural language processing Time-series analysis
Seeking:
Mentorship Networking
Offering:
Mentorship Networking
2022-07-02
Olivia Grah
New York
ESG professional in alternative asset management. Focus on investment portfolio carbon accounting
Seeking:
Data Mentorship Networking Paid consulting
Offering:
Employment opportunities Networking
2022-06-18

Mohammed Kasim
Mr
Ethiopia
Mohammed Kasim Jufar Lecturer at Arsi University Ph.D. Student in Climate change and Bio-energy Development @Hawassa University, P.O. box, 135, Celular: +251913126420, Thank You in Advance!!!
Areas of Interest:
Active learning Agriculture Carbon capture and sequestration Causal and Bayesian methods Classification, regression, and supervised learning Climate and Earth science Climate finance Climate justice Computer vision and remote sensing Data mining Disaster prediction, management, and relief Ecosystems and natural resources Forestry and other land use Policy Societal adaptation Time-series analysis Unsupervised and semi-supervised learning
Areas of Experience:
Agriculture Carbon capture and sequestration Forestry and other land use

Mohammed Kasim Jufar Lecturer at Arsi University PhD Student in Climate change and Bio-energy Development @Hawassa University, P.O. box, 135, Celular: +251913126420, Thank You in Advance!!!
Seeking:
Data Employment opportunities Funding Internships Lacuna Fund Collaborations Mentorship Networking Paid consulting Research collaborations
2022-06-17
Bhogendra Mishra
Science Hub
Nepal
He is a Doctorate in Engineering from Kyoto University, is a spatial data scientist, has more than a decade long professional experience research and development of geospatial datasets for several applications. He is the recipient of “Nepal Bidhya Bhusan Kha” and “The John A. Hones Prize” from Tribhuvan University and AIT for his outstanding academic. He worked in various development organizations as a specialist and researcher in the Asia Pacific region, the Netherlands.
Areas of Interest:
Agriculture Classification, regression, and supervised learning Climate and Earth science Time-series analysis
Areas of Experience:
Agriculture Computer vision and remote sensing Time-series analysis
Seeking:
Data Employment opportunities Lacuna Fund Collaborations Paid consulting Research collaborations
Offering:
Data Mentorship Paid consulting Research collaborations
2022-06-17

Ivel Sestopal
Mexico, Remote
Recent graduate from International Relations with high passion and interest in sustainable development and climate justice. Capable to effectively analyze socio-economical, cultural and political factors. Experience with research for the creation of successful policy papers
Areas of Interest:
Behavioral and social science Buildings and cities Climate justice Policy Societal adaptation Transportation
Areas of Experience:
Buildings and cities Climate justice
Seeking:
Employment opportunities Internships Networking Research collaborations
Offering:
Research collaborations
2022-06-17
Veronica Nieves
University of Valencia
Spain
Climate Scientist | Distinguished Researcher | AI4OCEANS Group Leader at University of Valencia | Main research in Physical Oceanography and Global Climate Change via Artificial Intelligence
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science Data mining Unsupervised and semi-supervised learning
2022-05-27

Ukachukwu Macpherson Ifeanyi
Global Environmental and Climate Conservation Initiative (GECCI)
Nigeria
Ukachukwu Macpherson Ifeanyi is a licensed Medical Laboratory Scientist. Macpherson has 4 years of experience in Clinical Laboratory testing. In 2020, Macpherson received a recognition in the joint award as the intern Histopathologist of the year at the Federal Medical Centre, Abeokuta, Ogun State, Nigeria. He is a member of Medical Laboratory Science Council of Nigeria(MLSCN). He is also a bona fide member of the Association of Medical Laboratory Scientists of Nigeria(AMLSN) He is seasoned and proficient in EMR systems operations, Microsoft office, social media content consulting. In 2021, Macpherson championed a project on Local Government Good Governance Monitor(LGGM) in Ikwo Local Government Area of Ebonyi State where he was saddled with the responsibility of advancing efficient and inclusive delivery of Primary Public health and education. A project carried out in the South Eastern states of Nigeria and organized by the Centre for Social Awareness, Advocacy and Ethics (CSAAE). Ukachukwu Macpherson Ifeanyi has made a lot of contributions in climate change arena ranging from Advocacy Campaign, public enlightenment and awareness, to mention but a few, in the just concluded Nigeria youth post COP26 conference for South East, held in Ebonyi State. The attached are my selected newspaper publications since, 2022. https://cccd.funai.edu.ng/cccd-aefunai-pledges-partnership-with-youth-initiatives-on-climate-education-for-5-years/ https://www.environewsnigeria.com/ekwueme-varsity-centre-to-partner-youths-on-climate-education/. Ukachukwu Macpherson Ifeanyi is presently the Ebonyi State Vice President of the Global Environmental and Climate Conservation Initiative (GECCI)- a reputable NGO(Non Governmental Organization) and Non-profit organization based in Nigeria with other branches across the globe. With about two years of working experience in this great Organization, my roles are as follows: Working with other executive colleagues and departmental managers to implement plans and policies throughout the organisation. Working with a team of assistants to monitor and fast track progress toward goals and measure analytics. Nominate departmental managers and executive staff and advise about other high-level hiring decisions. Represent the organisation at conferences, meetings, trade fares at regional or national levels. Macpherson is a climate resilience specialist at Global Environmental and Climate Conservation Initiative (GECCI) where he supports the integration of climate change into all projects. He has extensive experience with developing and implementing climate strategies in Nigeria as a country and Africa as a continent.

N/A
Seeking:
Academic positions Data Employment opportunities Funding Internships Lacuna Fund Collaborations Mentorship Networking Paid consulting Pro-bono consulting Research collaborations Startup co-founder
Offering:
Paid consulting

N/A
2022-05-27

Atakan Aral
University of Vienna
Vienna, Austria
Atakan Aral is a postdoctoral research fellow and principal investigator for the SWAIN project at the Scientific Computing research group, Faculty of Computer Science, University of Vienna. His research interests center around distributed AI architectures such as Edge Intelligence and IoT-based environmental monitoring systems.
Areas of Interest:
Active learning Buildings and cities Causal and Bayesian methods Disaster prediction, management, and relief Ecosystems and natural resources Generative modeling Hybrid physical models Industry Meta- and transfer learning Power and energy Reinforcement learning and control Time-series analysis Transportation Uncertainty quantification and robustness
Areas of Experience:
Active learning Buildings and cities Causal and Bayesian methods Disaster prediction, management, and relief Ecosystems and natural resources Generative modeling Hybrid physical models Industry Meta- and transfer learning Power and energy Reinforcement learning and control Time-series analysis Transportation Uncertainty quantification and robustness
Seeking:
Academic positions Data Funding Lacuna Fund Collaborations Research collaborations
Offering:
Internships Lacuna Fund Collaborations Research collaborations
2022-05-26
Javed Ali
University of Central Florida
Orlando, FL
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science Data mining Disaster prediction, management, and relief Ecosystems and natural resources Time-series analysis
Areas of Experience:
Classification, regression, and supervised learning Climate and Earth science Data mining Disaster prediction, management, and relief Ecosystems and natural resources Time-series analysis Unsupervised and semi-supervised learning
Seeking:
Funding Internships Mentorship Networking Research collaborations
Offering:
Mentorship Networking Research collaborations
2022-05-22

Zineb Bhaby
Areas of Interest:
Climate justice Data mining Disaster prediction, management, and relief Natural language processing
Areas of Experience:
Climate and Earth science Disaster prediction, management, and relief

A seasoned Humanitarian Tech Specialist with a passion for responsible use of data in making positive societal impact. I am a fervent advocate for community-driven innovation and the holistic approach to digital inclusion.
Seeking:
Funding Lacuna Fund Collaborations Mentorship Research collaborations
Offering:
Data Mentorship Research collaborations
2022-05-21

Kevin Joshi
Indian Institute of Technology Bombay, Mumbai
Mumbai
Research at the intersection of data, renewable energy, and policy.
Areas of Interest:
Buildings and cities Data mining Policy Power and energy
Areas of Experience:
Buildings and cities Data mining Power and energy
Seeking:
Employment opportunities Lacuna Fund Collaborations Mentorship Research collaborations
2022-05-20
Sudhira HS
Gubbi Labs
Gubbi, India
Researcher. Practitioner.
Areas of Interest:
Buildings and cities Classification, regression, and supervised learning Climate and Earth science Computer vision and remote sensing Ecosystems and natural resources Forestry and other land use Policy Transportation Unsupervised and semi-supervised learning
Areas of Experience:
Buildings and cities Classification, regression, and supervised learning Computer vision and remote sensing Policy
Seeking:
Lacuna Fund Collaborations
2022-05-20
Bernard Ngaruiya
FarmDoc
Kenya
A seasoned computer vision engineer and instructor. Looking for partners interested in AI and Remote sensing for Agriculture. Hit me up and let us chat!!
Areas of Interest:
Agriculture Carbon capture and sequestration Climate finance Computer vision and remote sensing Forestry and other land use Societal adaptation
Areas of Experience:
Agriculture
Seeking:
Lacuna Fund Collaborations
Offering:
Networking Startup co-founder
2022-05-20
Thomas Landrain
Just One Giant Lab
Paris
Cofounder and CEO of JOGL (Just One Giant Lab)
Areas of Interest:
Carbon capture and sequestration
Areas of Experience:
Carbon capture and sequestration
2022-05-17

Diego Kiedanski
Yale University
New Haven, CT / Montevideo, UY
Background in computer engineering, Ph.D. in applied game theory for local energy markets. I have worked in the industry doing R&D and as an ML consultant. Currently pursuing a postdoc in applied ML in the SmartNets lab at Yale. Looking to transition full time into climate change-related problems.
Areas of Interest:
Agriculture Buildings and cities Carbon capture and sequestration Climate finance Computer vision and remote sensing Forestry and other land use Power and energy Reinforcement learning and control Time-series analysis Transportation
Areas of Experience:
Classification, regression, and supervised learning Computer vision and remote sensing Meta- and transfer learning Power and energy Reinforcement learning and control Time-series analysis

The list is not extensive :)
Seeking:
Mentorship Networking Research collaborations Startup co-founder
Offering:
Mentorship Research collaborations Startup co-founder

I am considering going into the startup world with a strong focus on climate change and ML. Still looking for ideas & partners.
2022-05-17
lucas chamorro
INGENIERO CIVIL- MAGISTER EN PLANIFICACION ENERGETICA
Areas of Interest:
Climate and Earth science Power and energy
Areas of Experience:
Climate and Earth science Disaster prediction, management, and relief Power and energy Time-series analysis
Seeking:
Data Lacuna Fund Collaborations Networking Research collaborations Startup co-founder
Offering:
Data Internships Research collaborations
2022-05-17

Abel B.S. Gaiya
Clean Technology Hub
Abuja, Nigeria
Deputy research manager at Clean Technology Hub. I hold an Msc in Development Economics from SOAS, University of London. Specialize in industrial policy, the political economy of climate change, and economic history.
Areas of Interest:
Behavioral and social science Policy Power and energy Societal adaptation
2022-05-16

Suraj Prasad
Pittsburgh, USA / New Delhi, India
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.
Areas of Interest:
Behavioral and social science Buildings and cities Carbon capture and sequestration Classification, regression, and supervised learning Climate justice Policy Power and energy Unsupervised and semi-supervised learning
Areas of Experience:
Active learning Climate justice Ecosystems and natural resources Human-computer Interaction Societal adaptation

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:
Employment opportunities Funding Lacuna Fund Collaborations Paid consulting Startup co-founder
Offering:
Mentorship Research collaborations Startup co-founder

Seeking problems to solve and organizations to advance.
2022-05-15

Nikhil S Bhat
HCC, Mumbai
Mumbai, Maharashtra, India
A climate, sustainability, and energy enthusiast. Passion for quizzing. Construction management professional. Cartoonist and nocturnal.
Areas of Interest:
Buildings and cities Climate and Earth science Power and energy Transportation
Areas of Experience:
Buildings and cities Transportation

Project management, operations, Financial modelling, Monitoring and evaluation. Assessment of infrastructure and energy supply and demand, Productivity study.

Seeking:
Internships Mentorship
Offering:
Data

Volunteering, Research opportunities in buildings and cities.

2022-05-14
Rory Hooper
TU Delft
The Netherlands
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.
Areas of Interest:
Carbon capture and sequestration Human-computer Interaction Natural language processing Policy Power and energy Societal adaptation
Areas of Experience:
Natural language processing Policy Power and energy
Seeking:
Employment opportunities Networking
2022-05-14
John Musau
Machakos University
Machakos, Kenya
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.
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:
Academic positions Lacuna Fund Collaborations Pro-bono consulting
2022-05-12

Zachary Labe
Princeton University & NOAA GFDL
Princeton, NJ
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.
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science Interpretable ML Time-series analysis Uncertainty quantification and robustness Unsupervised and semi-supervised learning
Areas of Experience:
Climate and Earth science Interpretable ML

Interested in using novel data science methods to extract climate change signals in large ensemble simulations
Seeking:
Academic positions Employment opportunities Networking Research collaborations
Offering:
Data Mentorship Networking Research collaborations
2022-05-11
Isaac Kofi Nti
University of Energy and Natural Resources
Sunyani, Ghana
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.
2022-05-11

Al Karaki
Africa
Large scale innovator and entrepreneur providing insight, innovation and implementation services for projects that impact positive benefits towards people's lives
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

Well established Japanese Canadian in Africa providing solutions on a number of sectors: energy, education, tourism, youth, climate change, etc
Seeking:
Lacuna Fund Collaborations

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.
2022-05-06

Ronald Tombe
Kisii University
Kenya
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.
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:
Funding Lacuna Fund Collaborations Mentorship
2022-05-05

Antonio Paulo Inguane
Data4Moz
Mozambique
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.
Areas of Interest:
Agriculture Data mining Disaster prediction, management, and relief Ecosystems and natural resources Forestry and other land use Policy 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:
Data Funding Mentorship Networking Startup co-founder
2022-05-02

Akansha Singh Bansal
CIRA Colorado & NSF AI2ES
San Francisco, CA
Developing self-supervised machine learning models using satellite data for different applications.
Areas of Interest:
Computer vision and remote sensing Unsupervised and semi-supervised learning
Areas of Experience:
Computer vision and remote sensing Power and energy Unsupervised and semi-supervised learning
Seeking:
Employment opportunities Research collaborations
2022-05-02
Romuald P. SAWADOGO
Centre de Production; de Formation et d'Echanges Techniques (CEPROFET)
Burkina Faso
Spécialiste du développement local et travaillant actuellement sur les questions de Climat-Environnement-Communautés dépendantes des forêts, je souhaite faire des relations avec des personnes plus expérimentées ou des structures partenaires en relation avec le sujet ci-dessus évoqué.
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:
Funding Lacuna Fund Collaborations Networking
Offering:
Internships
2022-04-30
Emmanuel Chukwuma
Nnamdi Azikiwe University
Awka

I am an Agricultural Engineer by profession, and would love to develop capacity in applications of ML in agriculture and environmental issues.

Seeking:
Data Funding Internships Lacuna Fund Collaborations Mentorship Networking Research collaborations
Offering:
Lacuna Fund Collaborations Research collaborations

I am interest in collaboration that will enhance my research capacity.

2022-04-30

Ismael Ocen
Ocean One Social Research Centre
Uganda
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
Areas of Interest:
Agriculture Climate justice Computer vision and remote sensing Ecosystems and natural resources Policy
Areas of Experience:
Agriculture Climate justice Computer vision and remote sensing Disaster prediction, management, and relief Ecosystems and natural resources Forestry and other land use Policy
Seeking:
Lacuna Fund Collaborations
Offering:
Networking
2022-04-30

Humphrey agevi
Masinde Muliro University of Science and Technology
Kenya
PhD in Environmental Biology with bias in Ecology, carbon stocks assessment and climate change mitigation
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:
Academic positions Lacuna Fund Collaborations Mentorship Networking Research collaborations
Offering:
Mentorship Networking Research collaborations
2022-04-29
Ejim-Eze Emmanuel
National Centre for Tecnology Management
Nigeria
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
Areas of Interest:
Agriculture Carbon capture and sequestration Climate and Earth science Computer vision and remote sensing Data mining Ecosystems and natural resources Forestry and other land use Industry Policy Power and energy Societal adaptation Time-series analysis Transportation Uncertainty quantification and robustness
Areas of Experience:
Behavioral and social science Ecosystems and natural resources Industry Policy
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

I seek new knowledge, partnerships,and collaborations
2022-04-29
Olivia
Life Initiative for Change
Zambia
Public health specialist
Areas of Interest:
Agriculture Behavioral and social science Climate justice Disaster prediction, management, and relief
Areas of Experience:
Behavioral and social science
Seeking:
Funding Mentorship Networking Startup co-founder
Offering:
Networking
2022-04-29

Dr. Emmanuel Ande Ivorgba
The Emmanuel Ivorgba Foundation
Nigeria
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:
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:
Academic positions Employment opportunities Funding Lacuna Fund Collaborations Networking Paid consulting Research collaborations Startup co-founder
Offering:
Mentorship Networking Pro-bono consulting Research collaborations
2022-04-29

Denis Pastory Rubanga
Tokyo University of Agriculture
Tokyo-Japan
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.
Areas of Interest:
Agriculture Classification, regression, and supervised learning Climate and Earth science Computer vision and remote sensing Disaster prediction, management, and relief Societal adaptation
Areas of Experience:
Agriculture Classification, regression, and supervised learning Computer vision and remote sensing
Seeking:
Employment opportunities Lacuna Fund Collaborations Paid consulting
Offering:
Mentorship
2022-04-27
Kamil Mroczek
Elio Technologies
Irvine, CA
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.
Areas of Interest:
Data mining Natural language processing Unsupervised and semi-supervised learning
Areas of Experience:
Data mining Natural language processing
Seeking:
Networking
Offering:
Employment opportunities Mentorship
2022-04-27

Paul Daniel
OYO
Copenhagen
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.
Areas of Interest:
Agriculture Carbon capture and sequestration Climate and Earth science Computer vision and remote sensing Ecosystems and natural resources Forestry and other land use Reinforcement learning and control
Areas of Experience:
Classification, regression, and supervised learning Computer vision and remote sensing Interpretable ML Reinforcement learning and control
Seeking:
Data Employment opportunities Networking
Offering:
Mentorship Networking
2022-03-12
paolo nesi
university of florence
Firenze
working on mobility and transport and impact on environmental data. prediction and estimation of NO2, NOX, CO2, etc., on the basis of traffic, etc.
Areas of Interest:
Behavioral and social science Interpretable ML Natural language processing Time-series analysis Transportation
Areas of Experience:
Interpretable ML Time-series analysis Transportation

chair of https://www.snap4city.org platform and solution fully open source
Seeking:
Research collaborations
Offering:
Data Mentorship Research collaborations
2022-03-12
Mahrukh Niazi
Graduate Student at University of Toronto
Seeking:
Internships Networking
2022-03-04

Jorge Montalvo Arvizu
University of Liège
Liège, Belgium
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.
Areas of Interest:
Causal and Bayesian methods Hybrid physical models Interpretable ML Power and energy Reinforcement learning and control Uncertainty quantification and robustness
Areas of Experience:
Causal and Bayesian methods Policy Power and energy Reinforcement learning and control Time-series analysis Uncertainty quantification and robustness
Seeking:
Internships Mentorship Networking Research collaborations
Offering:
Networking Research collaborations
2022-03-03

Karen Wang
Imperial College London
London
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
Areas of Interest:
Buildings and cities Carbon capture and sequestration Classification, regression, and supervised learning Climate finance Computer vision and remote sensing Data mining Power and energy Time-series analysis
Areas of Experience:
Buildings and cities Classification, regression, and supervised learning Climate finance Computer vision and remote sensing Natural language processing Time-series analysis

Recently, I am building a carbon accounting SaaS for buildings

Seeking:
Networking
Offering:
Research collaborations
2022-03-02
Wassem Alward
Schlumberger
Iraq
Areas of Interest:
Carbon capture and sequestration Classification, regression, and supervised learning Climate and Earth science Hybrid physical models Uncertainty quantification and robustness Unsupervised and semi-supervised learning
2022-03-02
Thomas Loughlin
Engineers for a Sustainable World
New Jersey
Association/non-profit leader focusing on climate, sustainability and a regenerative economy.
Areas of Interest:
Buildings and cities Power and energy Societal adaptation
Areas of Experience:
Buildings and cities Power and energy

Engineering & workforce development
Seeking:
Networking Pro-bono consulting
Offering:
Networking Startup co-founder

Seeking collaborations with Engineers for a Sustainable World...our members are on the launchpad of their engineering study with a focus on sustainability.
2022-02-28

Redouane Lguensat
IPSL / IRD / Sorbonne Univ.
Paris
IRD Research Engineer at IPSL climate modeling center
Areas of Interest:
Climate and Earth science
Areas of Experience:
Classification, regression, and supervised learning Computer vision and remote sensing Hybrid physical models Interpretable ML Time-series analysis Uncertainty quantification and robustness Unsupervised and semi-supervised learning

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:
Networking Research collaborations
Offering:
Mentorship Research collaborations
2022-02-23

Lee Wall
Florida State University
Tallahassee, FL
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!
Areas of Interest:
Buildings and cities Carbon capture and sequestration Causal and Bayesian methods Classification, regression, and supervised learning Climate and Earth science Computer vision and remote sensing Disaster prediction, management, and relief Ecosystems and natural resources Forestry and other land use Generative modeling Hybrid physical models Interpretable ML Natural language processing Power and energy Reinforcement learning and control Time-series analysis Transportation Uncertainty quantification and robustness Unsupervised and semi-supervised learning
Areas of Experience:
Causal and Bayesian methods Classification, regression, and supervised learning Climate and Earth science Ecosystems and natural resources Hybrid physical models Reinforcement learning and control Time-series analysis Unsupervised and semi-supervised learning

Self-taught AI hobbyist looking to learn more. Equally interested in the mathematical underpinnings of AI algorithms and their practical implementation.

Seeking:
Academic positions Employment opportunities Internships Mentorship Networking Research collaborations
Offering:
Networking Research collaborations
2022-02-21
Ademola Okerinde
Areas of Interest:
Computer vision and remote sensing
Areas of Experience:
Data mining
2022-02-20
Caroline Prahl
Inkonova
Sverige
Seeking:
Funding Mentorship Networking Pro-bono consulting Research collaborations Startup co-founder
Offering:
Internships Networking Research collaborations Startup co-founder
2022-02-14

Luis Blanche
MSc
France
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
Areas of Interest:
Agriculture Causal and Bayesian methods Climate and Earth science Computer vision and remote sensing Forestry and other land use Industry Interpretable ML Time-series analysis Transportation
Areas of Experience:
Classification, regression, and supervised learning Data mining Industry Interpretable ML Natural language processing Time-series analysis Transportation Unsupervised and semi-supervised learning
Seeking:
Data Employment opportunities Networking
Offering:
Employment opportunities Internships Research collaborations
2022-02-11

Matteo Turchetta
ETH Zurich
CH-ZH
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.
Areas of Interest:
Active learning Agriculture Carbon capture and sequestration Interpretable ML Meta- and transfer learning Reinforcement learning and control
Areas of Experience:
Active learning Reinforcement learning and control
Seeking:
Funding Networking Research collaborations Startup co-founder
Offering:
Networking Research collaborations Startup co-founder
2022-02-10
Asmerom Gilau
Epsilon Innovation Group Inc
Washington DC
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:
Research collaborations
Offering:
Research collaborations
2022-01-25
Gargi Singh
Texas A&M Transportation Institute
TX
Areas of Interest:
Buildings and cities Transportation
2022-01-23

Tony Liu
University of Toronto
Toronto, Canada
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.
Areas of Interest:
Buildings and cities Ecosystems and natural resources Meta- and transfer learning Natural language processing Power and energy Reinforcement learning and control
Areas of Experience:
Classification, regression, and supervised learning Natural language processing Reinforcement learning and control
Seeking:
Data Networking Research collaborations Startup co-founder
Offering:
Research collaborations Startup co-founder
2022-01-19
Pierre McWhannel
SFU
Vancouver, BC, Canada
PhD student in Sustainable Energy Engineering, exploring the intersection of AI and energy systems modelling in an effort against climate change.
Areas of Interest:
Classification, regression, and supervised learning Data mining Meta- and transfer learning Policy Power and energy 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:
Mentorship Research collaborations
Offering:
Networking Research collaborations
2022-01-15

James Doss-Gollin
Rice University
Houston
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.
Areas of Interest:
Buildings and cities Causal and Bayesian methods Climate and Earth science Climate justice Disaster prediction, management, and relief Generative modeling Power and energy Reinforcement learning and control Societal adaptation Time-series analysis Uncertainty quantification and robustness
Areas of Experience:
Causal and Bayesian methods Climate and Earth science Power and energy Societal adaptation Time-series analysis Uncertainty quantification and robustness
Seeking:
Funding Networking Research collaborations
Offering:
Academic positions Employment opportunities Mentorship Networking Research collaborations
2022-01-12

Ian Foster
Argonne National Laboratory & University of Chicago
Chicago
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.
Areas of Interest:
Behavioral and social science Climate and Earth science Computer vision and remote sensing Natural language processing Unsupervised and semi-supervised learning

Unsupervised learning applied to remote sensing. Surrogate models for accelerated simulation.

2022-01-11

Tse Uweja
University of Cambridge
London, UK
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. :)
Areas of Interest:
Behavioral and social science Climate and Earth science Climate finance Climate justice Industry Policy Power and energy Transportation
Seeking:
Funding Internships Mentorship Pro-bono consulting Startup co-founder
Offering:
Research collaborations Startup co-founder
2022-01-05

Jim Lee
BuySellRam.com
Orlando
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.
Areas of Interest:
Ecosystems and natural resources

My goal is to build an automatic e-waste recycling system.
2021-12-20

Eirini Malliaraki
Deep Science Ventures
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.
Areas of Interest:
Active learning Behavioral and social science Buildings and cities Climate and Earth science Ecosystems and natural resources Natural language processing Policy Power and energy Societal adaptation Unsupervised and semi-supervised learning
Areas of Experience:
Climate and Earth science Climate finance Ecosystems and natural resources Policy Power and energy
Seeking:
Mentorship Networking Research collaborations
Offering:
Mentorship Pro-bono consulting Research collaborations
2021-12-16
David Chen
NY
Ex-quant, now working in carbon emissions accounting.
Areas of Interest:
Carbon capture and sequestration Causal and Bayesian methods Classification, regression, and supervised learning Industry Natural language processing Power and energy 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

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:
Funding Mentorship Networking
Offering:
Funding Networking Paid consulting Pro-bono consulting
2021-12-15

Bethany Lusch
Argonne National Laboratory
Lemont, IL
machine learning + science + supercomputers
Areas of Interest:
Active learning Classification, regression, and supervised learning Climate and Earth science 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

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.
2021-12-14

Derek Rollend
The Johns Hopkins University Applied Physics Laboratory
Laurel, MD
Machine Learning researcher interested in the application of AI/ML to satellite imagery and remote sensing data to help address the climate crisis.
Areas of Interest:
Climate and Earth science Computer vision and remote sensing Disaster prediction, management, and relief Transportation
Areas of Experience:
Classification, regression, and supervised learning Computer vision and remote sensing Meta- and transfer learning
Seeking:
Data Research collaborations
2021-12-14
Gabriel
Mines ParisTech - PSL University / RTE France
Paris, France
PhD candidate in remote sensing applied to the detection of distributed solar panels
Areas of Interest:
Power and energy
Areas of Experience:
Computer vision and remote sensing

PhD dissertation focuses on understanding OOD generalisation in the context of remote sensing
Seeking:
Networking Research collaborations
Offering:
Networking Research collaborations
2021-12-14

Thomas Y. Chen
Academy for Mathematics, Science, and Engineering
New Jersey
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.
Areas of Interest:
Buildings and cities Carbon capture and sequestration Classification, regression, and supervised learning Climate and Earth science Computer vision and remote sensing Data mining Disaster prediction, management, and relief Ecosystems and natural resources Generative modeling Interpretable ML Meta- and transfer learning Natural language processing Policy Societal adaptation Time-series analysis Transportation
Areas of Experience:
Buildings and cities Classification, regression, and supervised learning Computer vision and remote sensing Data mining Disaster prediction, management, and relief Interpretable ML Policy Societal adaptation

Check out my paper on interpretable computer vision for damage assessment and disaster relief using satellite imagery at the NeurIPS 2020 workshop!
Seeking:
Data Employment opportunities Funding Mentorship Networking Research collaborations Startup co-founder
Offering:
Networking Research collaborations Startup co-founder
2021-12-14
Stephen Haddad
Met Office
Exeter, UK
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.
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science Hybrid physical models Unsupervised and semi-supervised learning
Areas of Experience:
Classification, regression, and supervised learning Climate and Earth science
2021-12-12

David Dao
ETH Zurich
I'm a Ph.D. student at ETH Zurich building AI and Data Systems for Sustainable Development. I'm leading the Climate + AI initiative at DS3Lab, mapping the ethical use of AI, and directing the Kara research project with Stanford and UC Berkeley. I'm also the founder of GainForest, a non-profit grantee of Microsoft’s AI for Earth program, which leverages decentralized technology to prevent deforestation. Previously, I was an engineer in Silicon Valley and a research fellow at Berkeley AI Research (BAIR), Stanford University and Broad Institute of MIT and Harvard. I'm a Global Shaper at World Economic Forum, a Core Member of Climate Change AI, a Climate Leader at Climate Reality Project and organized conferences with thousands of attendees in Germany, Silicon Valley, and at Harvard.
Areas of Interest:
Climate finance Climate justice Computer vision and remote sensing Ecosystems and natural resources Forestry and other land use Interpretable ML Policy
Areas of Experience:
Climate finance Computer vision and remote sensing Ecosystems and natural resources Forestry and other land use Interpretable ML
2021-12-08

Qiao Kang
Memorial University of Newfoundland
Newfoundland, Canada
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.
Areas of Interest:
Causal and Bayesian methods Climate and Earth science Data mining Hybrid physical models Interpretable ML Meta- and transfer learning
Areas of Experience:
Causal and Bayesian methods Classification, regression, and supervised learning Data mining Hybrid physical models Interpretable ML Time-series analysis

On my way to becoming an AI researcher in the environmental science field.
Seeking:
Data Employment opportunities Internships Mentorship Networking
Offering:
Networking Pro-bono consulting Research collaborations Startup co-founder
2021-12-07
Frederik vom Scheidt
Karlsruhe Institute of Technology
Germany
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.
Areas of Interest:
Power and energy
Areas of Experience:
Classification, regression, and supervised learning Power and energy
Seeking:
Startup co-founder
Offering:
Research collaborations Startup co-founder
2021-12-07
Sivaranjani Seetharaman
I am a postdoc in the Department of Electrical and Computer Engineering at Texas A&M University, and an incoming Assistant Professor at the School of Industrial Engineering, Purdue University, starting March ’22. My research interests lie at the intersection of control theory and machine learning for distributed decision making in large-scale cyber-physical-human systems, with applications to transportation networks, power grids, and interdependent infrastructures.
Areas of Interest:
Policy Power and energy Reinforcement learning and control Transportation
Areas of Experience:
Power and energy Reinforcement learning and control Transportation
Seeking:
Research collaborations
Offering:
Academic positions Research collaborations
2021-11-29

Andre L. Belem
Universidade Federal Fluminense
Niteroi, RJ BRAZIL
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.
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science Time-series analysis Uncertainty quantification and robustness
Areas of Experience:
Agriculture Climate and Earth science Data mining Time-series analysis Uncertainty quantification and robustness

Provide knowledge and teach programming (python!) to as many people as possible.
Seeking:
Networking Research collaborations
Offering:
Data Internships Mentorship
2021-11-29
PARTHA PRATIM SAHA
Birla Institute of Technology and Science, Pilani, (BITS Pilani) India
West Bengal
I have 8 years of industrial work experience. I am working in advanced machine learning, neural network, NLP & Deep Learning projects. I have good knowledge on Convolutional Neural Networks, Recurrent Neural network, Text analytics, Information Retrieval, Natural Language Processing, Scientific Spacy, Gensim, Named Entity Recognition, architecting Gene Regulatory Network Architecture designing for identifying candidate driver genes for cancer for Multiple Myeloma from MMRF, and currently developing a search engine to develop established AI products in the Healthcare. I have used Python extensively in my work. I got an award of full free registration to attend the conference and workshop track in ICML 2021, attended the Google Developer’s program, serving as a reviewer of a journal on AI & Deep Learning, attended the RegML summer program, Italy, and presented Attention is all you need paper to Portland State University, USA. I have contributed to real-world projects from multiple domain horizons & could transfer these skills in my work.
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

With 8 years of work experience, I have worked with the Apple Inc and IBM research team on advanced machine learning, neural network, NLP & Deep Learning projects. I have good knowledge on Convolutional Neural Networks, Recurrent Neural network, LSTM, Text analytics, Information Retrieval, Natural Language Processing, Scientific Spacy, Gensim, Named Entity Recognition, architecting Gene Regulatory Network Architecture designing for identifying candidate driver genes for cancer for Multiple Myeloma from MMRF, and currently developing a search engine to develop established AI products in the Healthcare. I have used C, Java, objective-C, Python, R programming languages. I got an award of full free registration to attend the conference and workshop track in ICML 2021, attended the Google Developer’s program, serving as a reviewer of a journal on AI & Deep Learning, attended the RegML summer program, Italy, and presented Attention is all you need paper to Portland State University, USA. I have contributed to real-world projects from multiple domain horizons & could transfer these skills in my work.

2021-11-29
Luiza Barguil
XPrize Foundation
SP
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
Areas of Interest:
Active learning Agriculture Climate and Earth science Climate finance Data mining Forestry and other land use Interpretable ML Meta- and transfer learning
Seeking:
Mentorship Research collaborations Startup co-founder
Offering:
Data Employment opportunities Funding Internships
2021-11-22
Yan Xia
Zhejiang Univerisity
2021-11-22
Christian Igel
University of Copenhagen
Denmark
Professor at DIKU, the Department of Computer Science at the University of Copenhagen.
Areas of Interest:
Classification, regression, and supervised learning Computer vision and remote sensing Ecosystems and natural resources Forestry and other land use
Areas of Experience:
Classification, regression, and supervised learning Computer vision and remote sensing
2021-11-19

Jean Paul Maalouf
Freelance
Bordeaux, France
I am a freelance data science consultant, with a particular focus on education and communication. I defended a PhD in ecology in 2012. I studied the effect of extreme climate droughts on biodiversity. And I’ve been working in data since then. Throughout my career, I’ve had the opportunity to collaborate with members of multiple sectors and research institutes. I constantly draw inspiration from reading, art and meeting people.
Areas of Interest:
Agriculture Behavioral and social science Ecosystems and natural resources Societal adaptation
Areas of Experience:
Classification, regression, and supervised learning Data mining Ecosystems and natural resources Unsupervised and semi-supervised learning
Seeking:
Networking
2021-11-17

Elizabeth Bondi
Harvard University
Cambridge, MA, USA
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.
Areas of Interest:
Classification, regression, and supervised learning Computer vision and remote sensing Data mining Disaster prediction, management, and relief Ecosystems and natural resources Forestry and other land use Human-computer Interaction Reinforcement learning and control
Areas of Experience:
Classification, regression, and supervised learning Computer vision and remote sensing Data mining Ecosystems and natural resources
2021-11-17

Oliver Zielinski
German Research Center for Artificial Intelligence (DFKI)
Germany
Oliver Zielinski has been Professor of Marine Sensor Systems at the Institute for Chemistry and Biology of the Marine Environment (ICBM) at University Oldenburg since 2011. Since 2019, Zielinski is head of the research department “Marine Perception” at the German Research Center for Artificial Intelligence (DFKI) and since 2020, he leads the Competence Center “Artificial Intelligence for Environment and Sustainability”. Completing his PhD in physics at University Oldenburg in 1999, Zielinski became CEO of an international sensor systems supplier before being appointed professor at Bremerhaven University of Applied Sciences in 2005. Zielinski's research area covers environmental physics of aquatic ecosystems, utilizing intelligent technologies, especially in the field of autonomous sensor systems and marine observatories.
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science Computer vision and remote sensing Data mining Ecosystems and natural resources Time-series analysis Unsupervised and semi-supervised learning
Areas of Experience:
Climate and Earth science Computer vision and remote sensing Ecosystems and natural resources Time-series analysis

Marine Science Intelligent Sensors Edge AI Data stream mining
Seeking:
Research collaborations
Offering:
Research collaborations
2021-11-11

Mark Codling
The University of the West Indies - St. Augustine
Country other than US or CA
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.
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:
Networking Research collaborations
Offering:
Networking
2021-11-11
Siman Ning
Washington
I am a phd student in urban design and planning. I am interested in how AI and climate change could reshape future urban development.
Areas of Interest:
Behavioral and social science Climate finance
Areas of Experience:
Buildings and cities
Seeking:
Mentorship
Offering:
Pro-bono consulting
2021-11-09
Jianwu Wang
University of Maryland, Baltimore County
Baltimore, Maryland, United States
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.
Areas of Interest:
Causal and Bayesian methods Classification, regression, and supervised learning Climate and Earth science Data mining Time-series analysis
Areas of Experience:
Causal and Bayesian methods Data mining Interpretable ML

Big data analytics, stream data analytics
Seeking:
Funding Research collaborations
Offering:
Mentorship Pro-bono consulting Research collaborations
2021-11-08
Vincent Mai
Mila - Université de Montréal
Montreal
Areas of Interest:
Climate justice Computer vision and remote sensing Disaster prediction, management, and relief Ecosystems and natural resources Power and energy Reinforcement learning and control Transportation Uncertainty quantification and robustness
Areas of Experience:
Computer vision and remote sensing Power and energy Reinforcement learning and control Uncertainty quantification and robustness
Seeking:
Academic positions Employment opportunities Internships Mentorship Networking
Offering:
Research collaborations
2021-11-08
Shankar Vaidhyanathan
Environmental Resources Management/ Colorado School of Mines
Austin
Air Quality Engineer. Passionate about Carbon Accounting, Carbon Capture (geological and non geological), Methane, Low Carbon Energy Transition.
Areas of Interest:
Active learning Carbon capture and sequestration Data mining Generative modeling Industry
Areas of Experience:
Carbon capture and sequestration Climate and Earth science Industry Policy
Seeking:
Data Employment opportunities Networking Pro-bono consulting Research collaborations
Offering:
Mentorship Networking Pro-bono consulting Research collaborations
2021-11-08

Luc Wuytens
Belgium, Leuven
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.
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science Computer vision and remote sensing Data mining Disaster prediction, management, and relief 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:
Data Networking
Offering:
Networking
2021-11-08
Art Prateepvanich
Paraclimate
Oakland, CA
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.
Areas of Interest:
Behavioral and social science Buildings and cities Causal and Bayesian methods Classification, regression, and supervised learning Industry Power and energy Transportation Unsupervised and semi-supervised learning
Areas of Experience:
Industry
Seeking:
Data Funding Networking Paid consulting Pro-bono consulting Startup co-founder
Offering:
Funding Mentorship Paid consulting Pro-bono consulting Startup co-founder
2021-11-03

Luis Bernardo Chicaiza
Bogotá, Colombia
2021-11-03

Jairo Torregrosa
Colombia
I'm a data scientist interested in working on Climate Change.
Areas of Interest:
Computer vision and remote sensing Natural language processing
Areas of Experience:
Computer vision and remote sensing
Seeking:
Employment opportunities Mentorship
Offering:
Networking
2021-11-02

Maria João Sousa
IST, ULisboa
Lisbon, Portugal
Areas of Interest:
Disaster prediction, management, and relief Ecosystems and natural resources Forestry and other land use
Areas of Experience:
Classification, regression, and supervised learning Computer vision and remote sensing Data mining Disaster prediction, management, and relief Interpretable ML Reinforcement learning and control Unsupervised and semi-supervised learning
Seeking:
Networking Research collaborations
Offering:
Mentorship Networking Research collaborations
2021-10-28
Victor Raul Stanilao Reyna Garcia
Universidad Catolica San Pablo
Lima
Areas of Interest:
Data mining
Areas of Experience:
Computer vision and remote sensing Data mining
Seeking:
Internships Mentorship
Offering:
Networking Research collaborations
2021-10-25

Mehdi Noori
Amazon ML Solutions Lab (Lead of Energy Vertical, Manager, and Senior Data Scientist)
New York City
Mehdi is a manager and a senior data scientist at Amazon ML Solutions Lab (MLSL). He helps identify and build ML solutions to address large organizations’ highest return-on-investment ML opportunities using AWS infrastructure. He also leads the Energy vertical in their organization. In the past, Mehdi has worked as a researcher and advocate for Climate Change, Sustainability, and Resilience. At MIT, Mehdi worked as a postdoctoral researcher at CSHub on topics related to resilience, sustainable transportation, and energy systems. He holds a PhD in Engineering from the University of Central Florida and studied EVs, Smart Cities, and Vehicle to Grid applications. Mehdi also worked at a utility company on emerging technologies in energy efficiency, green buildings, and net zero energy buildings where he held LEED AP and CEM certifications.
Areas of Interest:
Active learning Buildings and cities Classification, regression, and supervised learning Computer vision and remote sensing Generative modeling Interpretable ML Natural language processing Power and energy Time-series analysis Transportation Uncertainty quantification and robustness
Seeking:
Networking Pro-bono consulting
Offering:
Mentorship Networking Research collaborations
2021-10-25
Arunkumar L
Pegara Inc
India
Areas of Interest:
Carbon capture and sequestration Classification, regression, and supervised learning Climate and Earth science Climate justice Computer vision and remote sensing Generative modeling Interpretable ML Meta- and transfer learning Natural language processing Power and energy Recommender systems Time-series analysis Transportation Unsupervised and semi-supervised learning
Seeking:
Academic positions Employment opportunities Internships
Offering:
Mentorship
2021-10-19
Xikun Hu
KTH Royal Institute of Technology
Sweden
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.
Areas of Interest:
Climate and Earth science Computer vision and remote sensing Disaster prediction, management, and relief
Areas of Experience:
Disaster prediction, management, and relief Forestry and other land use
Seeking:
Research collaborations
2021-10-19
Hyunggyu Lim
Princeton University / NOAA-GFDL
NJ, US
Marine BGC-climate interaction, Postdoc Princeton-AOS / NOAA-GFDL, PhD in Climate Dynamics, MS in Environmental Marince science / he,his, S. Korean
Areas of Interest:
Climate and Earth science
Areas of Experience:
Climate and Earth science

Earth system modeling, marine biogeochemistry
2021-10-19

Quoc Viet Nguyen
Polytechnique
Palaiseau, Paris
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.
Areas of Interest:
Causal and Bayesian methods Climate and Earth science Forestry and other land use Generative modeling
Seeking:
Data Internships Mentorship
2021-10-19
Yu Zhou
Northern Arizona University
Areas of Interest:
Climate and Earth science Computer vision and remote sensing Ecosystems and natural resources Forestry and other land use Time-series analysis
2021-10-19

Ofir Levy
School of Zoology, Faculty of Life Sciences, Tel Aviv University
Tel Aviv, Israel
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

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:
Research collaborations
Offering:
Data Employment opportunities Internships Mentorship Research collaborations
2021-10-19
Jan Dutton
Prescient Weather Ltd
Charlottesville, VA
Areas of Interest:
Climate and Earth science
Areas of Experience:
Climate and Earth science

20+ years experience in the weather/climate industry.

Offering:
Startup co-founder
2021-10-19
Shalabh Vidyarthi
Amazon
Seattle
Areas of Interest:
Interpretable ML Power and energy Reinforcement learning and control Transportation
Seeking:
Networking Startup co-founder
Offering:
Networking
2021-10-07

Ramij Raja Hossain
Iowa State University
Ames, Iowa
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.
Areas of Interest:
Classification, regression, and supervised learning Human-computer Interaction Meta- and transfer learning Power and energy Reinforcement learning and control
Areas of Experience:
Power and energy Reinforcement learning and control
Seeking:
Employment opportunities Internships Mentorship Networking Research collaborations
2021-10-06
Lijun Sun
McGill University
Montreal, QC, Canada
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.
Areas of Interest:
Buildings and cities Hybrid physical models Reinforcement learning and control Time-series analysis Transportation
Areas of Experience:
Reinforcement learning and control Time-series analysis Transportation
Seeking:
Research collaborations
Offering:
Mentorship Research collaborations
2021-09-29
Andreas
CYENS CoE
Nicosia, Cyprus
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.
Areas of Interest:
Active learning Agriculture Buildings and cities Computer vision and remote sensing Ecosystems and natural resources Forestry and other land use
Areas of Experience:
Agriculture Buildings and cities Ecosystems and natural resources Forestry and other land use
Seeking:
Funding Networking Research collaborations
Offering:
Research collaborations
2021-09-27

Ashwin Shirsat
North Carolina State University
NC
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.
Areas of Interest:
Active learning Classification, regression, and supervised learning Data mining Interpretable ML Power and energy Reinforcement learning and control Time-series analysis Uncertainty quantification and robustness
Areas of Experience:
Active learning Power and energy Uncertainty quantification and robustness
Seeking:
Employment opportunities Networking Research collaborations Startup co-founder
Offering:
Mentorship Networking Pro-bono consulting
2021-09-24

Alireza Shams
Process Data Scientist at Svante Inc.
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.
Areas of Interest:
Data mining Generative modeling Meta- and transfer learning Unsupervised and semi-supervised learning
Areas of Experience:
Carbon capture and sequestration Classification, regression, and supervised learning Generative modeling Industry Time-series analysis

R&D Scientist & Process Specialist, Experienced in Industrial Design & Scale-up, Modelling & Simulation, TEA, Data Analysis, Machine Learning, and AI.
Seeking:
Networking Research collaborations
Offering:
Pro-bono consulting
2021-09-23

Galen Vincent
Carnegie Mellon University
Pittsburgh, PA
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.
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:
Employment opportunities Internships Mentorship Networking
Offering:
Networking Research collaborations
2021-09-22
Andrea
Stevens Institute of Technology
Mexico City
Areas of Interest:
Disaster prediction, management, and relief
Areas of Experience:
Disaster prediction, management, and relief Policy
Seeking:
Research collaborations
Offering:
Mentorship
2021-09-22

Quentin Paletta
University of Cambridge
Cambridge, UK
Areas of Interest:
Computer vision and remote sensing Power and energy
Areas of Experience:
Computer vision and remote sensing Power and energy
2021-09-21

Sebastian Romero
Tracks GmbH
Berlin
Technical product manager, tree-hugger, data scientist, in love with mama earth
Areas of Interest:
Climate justice Computer vision and remote sensing Interpretable ML
2021-09-21
Ish Girwan
UK
Areas of Interest:
Behavioral and social science Computer vision and remote sensing Disaster prediction, management, and relief Natural language processing Policy
Areas of Experience:
Computer vision and remote sensing Natural language processing
Seeking:
Employment opportunities Internships Networking
Offering:
Mentorship Networking Startup co-founder
2021-09-21

Garrett Kinman
McGill University
Montreal, QC, Canada
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.
Areas of Interest:
Agriculture Computer vision and remote sensing Ecosystems and natural resources Forestry and other land use Reinforcement learning and control
Areas of Experience:
Classification, regression, and supervised learning Computer vision and remote sensing Reinforcement learning and control
Seeking:
Employment opportunities Mentorship Networking
Offering:
Networking
2021-09-21

Martin Röck
KU Leuven
Cologne, Germany
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!
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science Uncertainty quantification and robustness
Areas of Experience:
Buildings and cities Industry Policy

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:
Funding Research collaborations
Offering:
Data Research collaborations
2021-09-21

Dickson Lukose
Monash University
Melbourne
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.
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

I also have extensive experience in Semantic Web, Knowledge Graphs and Ontology Modelling and Engineering.
Seeking:
Research collaborations
Offering:
Academic positions
2021-09-21

Yamine Bouzembrak
WFSR
NL
AI in food safety
Areas of Interest:
Agriculture Causal and Bayesian methods Classification, regression, and supervised learning Climate and Earth science 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:
Funding Research collaborations
Offering:
Research collaborations
2021-09-21

Zikri Bayraktar
Schlumberger
Cambridge, MA
I am a senior AI research scientist, currently focusing on carbon capture tech.
Areas of Interest:
Carbon capture and sequestration
Areas of Experience:
Natural language processing

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:
Mentorship Networking
Offering:
Mentorship Networking Startup co-founder
2021-09-21

Hillary Scannell
Columbia University
New York, NY
Postdoctoral Research Scientist in the Climate Data Science Lab at the Lamont-Doherty Earth Observatory
Areas of Interest:
Climate and Earth science Computer vision and remote sensing Disaster prediction, management, and relief Interpretable ML
Seeking:
Mentorship Networking Research collaborations
Offering:
Mentorship Networking Research collaborations
2021-09-21

Sophie Purdom
Climate Tech VC
NY
I’m a sustainable business practitioner; first from the perspective of state & global policy, then at a major endowment, followed by a few years decking at Bain & Co., published a book along the way, and founded an agtech venture (raised +$15m). I now write a climate tech newsletter (15,000+ readers) and invest in early stage companies.
Areas of Interest:
Agriculture Carbon capture and sequestration Climate finance Disaster prediction, management, and relief Industry
Areas of Experience:
Climate finance
Offering:
Funding
2021-09-21
Paul Christopher Ulrich
Consultant
New Haven, CT
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.
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 Classification, regression, and supervised learning Climate finance Disaster prediction, management, and relief Ecosystems and natural resources Forestry and other land use Industry Policy Time-series analysis
Offering:
Mentorship Networking Pro-bono consulting Research collaborations Startup co-founder
2021-09-13

Sara El Mekkaoui
Ecole Mohammadia d'Ingénieurs, Mohammed V University in Rabat
Rabat, Morocco
PhD student in Machine Learning for Maritime Logistics, interested in Blue Shipping.
Areas of Interest:
Classification, regression, and supervised learning Interpretable ML
Areas of Experience:
Industry Transportation
Seeking:
Networking Research collaborations
Offering:
Networking
2021-09-13
Abhishek Bhan
Apple, Columbia University
San Fransisco Bay Area
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!
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:
Mentorship Networking
Offering:
Research collaborations
2021-09-09

Shanti
UMich
MI
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) .
Areas of Interest:
Climate and Earth science Climate justice Disaster prediction, management, and relief Power and energy Reinforcement learning and control
Areas of Experience:
Active learning Classification, regression, and supervised learning Climate justice Data mining Ecosystems and natural resources Time-series analysis
Seeking:
Data Employment opportunities Internships Mentorship Networking Research collaborations
2021-09-09

Zane Selvans
Catalyst Cooperative
Guanajuato, Mexico
I wrangle US open energy system data for researchers, activists, policymakers, and journalists working on climate & energy policy.
Areas of Interest:
Climate finance Policy Power and energy
Areas of Experience:
Climate and Earth science Climate finance Policy Power and energy Transportation

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:
Data Mentorship Paid consulting Pro-bono consulting Research collaborations
Offering:
Data Employment opportunities Internships Networking Paid consulting Research collaborations
2021-09-03

Olga Mierzwa-Sulima
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.
Areas of Interest:
Agriculture Carbon capture and sequestration Climate and Earth science Power and energy
Areas of Experience:
Computer vision and remote sensing
Seeking:
Mentorship Networking Research collaborations
Offering:
Paid consulting Pro-bono consulting
2021-09-03
Neha Puri
Faculty AI
London, UK
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.
Areas of Interest:
Buildings and cities Causal and Bayesian methods Climate finance Computer vision and remote sensing Interpretable ML Time-series analysis Transportation
Areas of Experience:
Buildings and cities Causal and Bayesian methods Climate finance Computer vision and remote sensing Interpretable ML Policy Power and energy Time-series analysis Transportation Uncertainty quantification and robustness

Experience of leading infra projects focussing on asset inspection (Computer Vision), anomaly detection (Unsupervised Time Series Analysis), and operational forecasting (Bayesian Hierarchical Modelling).

Seeking:
Networking Paid consulting Pro-bono consulting Research collaborations
Offering:
Networking Research collaborations
2021-09-03
Michael Orimogunje
University of Huddersfield
United Kingdom
Areas of Interest:
Agriculture Buildings and cities Ecosystems and natural resources Human-computer Interaction Unsupervised and semi-supervised learning
Areas of Experience:
Agriculture Classification, regression, and supervised learning Computer vision and remote sensing Data mining Ecosystems and natural resources Natural language processing Unsupervised and semi-supervised learning

Researcher at the University of Huddersfield on intelligent system with self-rectifying capability for autonomous farming powered by solar energy.
Seeking:
Networking Research collaborations
2021-09-03

Alan Cordova
Fluence Energy
San Francisco, CA
Areas of Interest:
Power and energy
Areas of Experience:
Power and energy
Offering:
Employment opportunities
2021-09-03

Brian Kent
The Crosstab Kite
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!
Areas of Experience:
Causal and Bayesian methods Classification, regression, and supervised learning Reinforcement learning and control
Seeking:
Employment opportunities Funding Networking Paid consulting Startup co-founder
2021-09-02

Andy Chen
Afresh Technologies, Stanford Food Design
ML Engineering at Afresh Technologies (reducing fresh food waste at the grocery level!) ||| Stanford Math + Computer Science ||| Stanford Food Recovery
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:
Classification, regression, and supervised learning Industry Time-series analysis

My experience and interests are primarily in food systems, especially in food waste reduction. I'm currently doing ML engineering at Afresh Technologies!
Seeking:
Mentorship Networking Research collaborations
Offering:
Networking Research collaborations
2021-09-01

Lynn Kaack
Hertie School
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.
Areas of Interest:
Natural language processing
Areas of Experience:
Buildings and cities Classification, regression, and supervised learning Policy Power and energy Transportation
Offering:
Mentorship Research collaborations
2021-08-27
Olivier Asselin
Ouranos, Montreal (CA)
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.
Areas of Interest:
Agriculture Climate and Earth science Forestry and other land use Power and energy Societal adaptation
Areas of Experience:
Climate and Earth science Forestry and other land use
Seeking:
Mentorship Networking
2021-08-27

Csaba Bán
Bosch, ADAS Software Engineer
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.
Areas of Interest:
Behavioral and social science Buildings and cities Classification, regression, and supervised learning Climate and Earth science Climate finance Computer vision and remote sensing Data mining Disaster prediction, management, and relief Ecosystems and natural resources Forestry and other land use Industry Natural language processing Power and energy Recommender systems Reinforcement learning and control Time-series analysis Transportation Unsupervised and semi-supervised learning
Areas of Experience:
Causal and Bayesian methods Classification, regression, and supervised learning Data mining Time-series analysis Transportation

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:
Data Employment opportunities Mentorship Networking
2021-08-25

Kasia Tokarska
ETH Zurich (former postdoc)
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.
Areas of Interest:
Hybrid physical models Interpretable ML Uncertainty quantification and robustness
Areas of Experience:
Climate and Earth science
Seeking:
Networking
Offering:
Mentorship Networking Research collaborations
2021-08-23
Tushar Gupta
I help Financial Institutions and Corporates manage their climate risk and align it with their decarbonisation strategy
2021-08-20

Kalyan Nadimpalli
International Institute of Information Technology, Bangalore
I'm an Integrated Masters student in CS, particularly interested in AI and am passionate about helping in the struggle towards stopping climate change.
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science Computer vision and remote sensing Forestry and other land use Reinforcement learning and control
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:
Mentorship Networking Research collaborations
Offering:
Networking Research collaborations
2021-08-18
Asmaa
Vodafone
AI Solution Architect
Areas of Interest:
Agriculture Climate and Earth science Policy
Areas of Experience:
Classification, regression, and supervised learning Disaster prediction, management, and relief Recommender systems
Seeking:
Networking Research collaborations
Offering:
Paid consulting Research collaborations
2021-08-18

Jakob Heller
deeeper.technology GmbH
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.
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

deeeper.technology gathers large datasets for land cover and its change down to submeter resolution.

Seeking:
Networking Research collaborations
Offering:
Networking Paid consulting
2021-08-18

Peter Dolan
Waymo
I'm a research engineer with broad interests, formerly at DeepMind working on climate change projects including wind power and energy efficiency.
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:
Employment opportunities Networking Paid consulting Pro-bono consulting Research collaborations Startup co-founder
Offering:
Employment opportunities Mentorship Networking Research collaborations
2021-08-13

Kiana Alikhademi
PhD student at the University of Florida
Areas of Interest:
Causal and Bayesian methods Classification, regression, and supervised learning Climate justice Computer vision and remote sensing Generative modeling Interpretable ML Policy Transportation
Areas of Experience:
Causal and Bayesian methods Classification, regression, and supervised learning Data mining Interpretable ML Societal adaptation Transportation
Seeking:
Employment opportunities Funding Mentorship Research collaborations
Offering:
Networking Research collaborations
2021-08-13
Rama Ramakrishnan
MIT
2021-08-12

Marcus Voss
TU Berlin, Birds on Mars
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.
Areas of Interest:
Buildings and cities Generative modeling Power and energy Time-series analysis
Areas of Experience:
Power and energy Time-series analysis
Seeking:
Research collaborations
Offering:
Mentorship Networking Research collaborations
2021-08-10
Nandakumar Krishnaswamy
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
2021-08-10

Carl Boettiger
UC Berkeley
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.
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:
Research collaborations
Offering:
Data Employment opportunities Research collaborations
2021-08-09

Anson Ho
University of St Andrews
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.
Areas of Interest:
Causal and Bayesian methods Climate and Earth science Interpretable ML Reinforcement learning and control Uncertainty quantification and robustness
Areas of Experience:
Classification, regression, and supervised learning
Seeking:
Mentorship Networking
2021-08-09

Negin Katal
Max Planck Institute for Biogeochemistry
currently, I'm a Ph.D. student at MPI for Biogeochemistry in Jena. I'm researching applying ML for phenological modeling using citizen science.
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science Disaster prediction, management, and relief Ecosystems and natural resources Hybrid physical models Interpretable ML Time-series analysis
Areas of Experience:
Classification, regression, and supervised learning Climate and Earth science Disaster prediction, management, and relief Ecosystems and natural resources
Seeking:
Mentorship Networking Research collaborations
2021-08-07

Tom Corringham
Scripps Institution of Oceanography, University of California San Diego
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.
Areas of Interest:
Behavioral and social science Classification, regression, and supervised learning Climate and Earth science Climate finance Climate justice Disaster prediction, management, and relief Natural language processing Policy Societal adaptation Unsupervised and semi-supervised learning
Areas of Experience:
Behavioral and social science Climate and Earth science Disaster prediction, management, and relief Natural language processing Policy Societal adaptation
Seeking:
Data Funding Mentorship Networking Research collaborations
Offering:
Data Mentorship Networking Research collaborations
2021-08-05
Allison Campbell
Pacific Northwest National Laboratory
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.
Areas of Interest:
Causal and Bayesian methods Generative modeling Power and energy Time-series analysis Uncertainty quantification and robustness
Areas of Experience:
Causal and Bayesian methods Industry Power and energy Time-series analysis Uncertainty quantification and robustness
Seeking:
Mentorship Research collaborations
Offering:
Networking Research collaborations
2021-08-05
Pranav Bhosale
BITS Pilani
Starting out as a software developer. Interested in tech for social good.
Areas of Interest:
Climate and Earth science Policy Unsupervised and semi-supervised learning
Seeking:
Mentorship Networking
2021-08-05

Jack Lynch
NC State University / Masterful AI
I'm an undergraduate and machine learning engineer interested in the application of domain adaptation and unsupervised learning to geospatial machine learning.
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:
Data Mentorship Networking Research collaborations
Offering:
Networking Research collaborations
2021-08-05
Thomas Walther
Utrecht University
Assistant Professor of Finance with research on financial econometrics; climate/energy/commodity finance
Areas of Interest:
Active learning Classification, regression, and supervised learning Climate finance Ecosystems and natural resources Industry Interpretable ML Natural language processing Policy Power and energy 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:
Funding Mentorship Networking Research collaborations
Offering:
Networking
2021-08-05

Miguel-Ángel Fernández-Torres
Image and Signal Processing (ISP) Group, Image Processing Laboratory (IPL), Universitat de València, Spain
I work at present as a postdoctoral researcher in the ERC USMILE project, taking part in the Image and Signal Processing Group at the Universitat de València, Spain. My current research within the area of Machine Learning for Earth and Climate Sciences involves the design and understanding of explainable deep generative models and machine attention mechanisms to be deployed for anomaly and extreme event detection.
Areas of Interest:
Causal and Bayesian methods Climate and Earth science Computer vision and remote sensing Disaster prediction, management, and relief Generative modeling Interpretable ML Unsupervised and semi-supervised learning
Areas of Experience:
Causal and Bayesian methods Computer vision and remote sensing Generative modeling Interpretable ML Unsupervised and semi-supervised learning
Seeking:
Data Networking Research collaborations
2021-08-05

Geneviève Patterson
Visual Supply Company (VSCO)
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.
2021-08-03

Santonu Goswami
Indian Space Research Organization
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.
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science Computer vision and remote sensing Disaster prediction, management, and relief Ecosystems and natural resources Forestry and other land use Generative modeling Natural language processing Reinforcement learning and control Time-series analysis Unsupervised and semi-supervised learning
Areas of Experience:
Agriculture Buildings and cities Classification, regression, and supervised learning Climate and Earth science Computer vision and remote sensing Data mining Disaster prediction, management, and relief Ecosystems and natural resources Forestry and other land use Generative modeling Hybrid physical models Natural language processing Reinforcement learning and control Time-series analysis Unsupervised and semi-supervised learning
Seeking:
Networking Research collaborations Startup co-founder
Offering:
Mentorship Pro-bono consulting Research collaborations
2021-08-03
James Crowley
Experienced CTO/founder in the SaaS fintech world, now working with start-ups and NGOs focused on climate
Areas of Interest:
Carbon capture and sequestration Climate finance Power and energy
Areas of Experience:
Climate finance

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:
Networking Paid consulting
Offering:
Mentorship Pro-bono consulting
2021-08-03

Duncan Watson-Parris
University of Oxford
Areas of Interest:
Causal and Bayesian methods Climate and Earth science Hybrid physical models
Areas of Experience:
Climate and Earth science
Seeking:
Academic positions Research collaborations
Offering:
Research collaborations
2021-08-02

Gang Huang
Zhejiang Lab
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.
Areas of Interest:
Classification, regression, and supervised learning Data mining Disaster prediction, management, and relief Hybrid physical models Policy Power and energy Reinforcement learning and control Transportation
Seeking:
Research collaborations
Offering:
Employment opportunities Research collaborations
2021-08-01
Cengiz Avcı
Istanbul Technical University
BSc Geomatics Engineering student at Istanbul Technical University
Areas of Interest:
Computer vision and remote sensing
Areas of Experience:
Classification, regression, and supervised learning Computer vision and remote sensing
Seeking:
Funding Mentorship Networking Research collaborations
2021-08-01

Avni Kothari
UC San Diego
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.
Areas of Interest:
Buildings and cities Climate justice Power and energy
Seeking:
Mentorship Networking Research collaborations
2021-07-30

Heather Couture
Pixel Scientia Labs
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
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:
Classification, regression, and supervised learning Computer vision and remote sensing Interpretable ML Meta- and transfer learning Power and energy Unsupervised and semi-supervised learning

Primarily focused on computer vision for remote sensing
Seeking:
Paid consulting
Offering:
Employment opportunities
2021-07-30

Christoph Klemenjak
University of Klagenfurt
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.
Areas of Interest:
Industry Meta- and transfer learning Societal adaptation Unsupervised and semi-supervised learning
Areas of Experience:
Classification, regression, and supervised learning Power and energy Time-series analysis
Seeking:
Academic positions Employment opportunities
Offering:
Networking Research collaborations
2021-07-30
Pia Faustino
Thinking Machines Data Science
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.
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

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:
Funding Networking Paid consulting Research collaborations
Offering:
Data Employment opportunities Research collaborations
2021-07-28

Anya Schukin
I’m a Paris-based ML software engineer, originally from San Francisco. Masters in CS / AI from École 42 Paris, with experience in technical product R&D, project management, and in a past life I founded and scaled a digital travel + culture publication. I want to use my skills to affect environmental change at 10x scale. If you have any career opportunities that touch on tech x product x data x environment, shoot me a message!
Areas of Interest:
Carbon capture and sequestration Computer vision and remote sensing Disaster prediction, management, and relief Ecosystems and natural resources Forestry and other land use Meta- and transfer learning Natural language processing
Areas of Experience:
Classification, regression, and supervised learning Computer vision and remote sensing Recommender systems
Seeking:
Employment opportunities Mentorship Networking
2021-07-27

Jose Cordova-Garcia
ESPOL University
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.
Areas of Interest:
Buildings and cities Classification, regression, and supervised learning Generative modeling Hybrid physical models Power and energy Reinforcement learning and control Uncertainty quantification and robustness
Areas of Experience:
Classification, regression, and supervised learning Hybrid physical models Power and energy
Seeking:
Data Networking Research collaborations
Offering:
Networking Research collaborations
2021-07-26

Simone Nsutezo Fobi
Columbia University
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.
Areas of Interest:
Classification, regression, and supervised learning Computer vision and remote sensing Power and energy Unsupervised and semi-supervised learning
Areas of Experience:
Classification, regression, and supervised learning Computer vision and remote sensing Power and energy Unsupervised and semi-supervised learning
Seeking:
Networking Research collaborations
2021-07-26

Tegan Maharaj
University of Toronto
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.
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science Climate justice Disaster prediction, management, and relief Ecosystems and natural resources Hybrid physical models Meta- and transfer learning Unsupervised and semi-supervised learning
Areas of Experience:
Classification, regression, and supervised learning Computer vision and remote sensing Ecosystems and natural resources Meta- and transfer learning Time-series analysis Unsupervised and semi-supervised learning
Seeking:
Networking Research collaborations
Offering:
Academic positions Mentorship Paid consulting Pro-bono consulting
2021-07-26

Jan Drgona
Pacific Northwest National Laboratory
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.
Areas of Interest:
Buildings and cities Hybrid physical models Industry Power and energy Reinforcement learning and control Time-series analysis
Areas of Experience:
Buildings and cities Hybrid physical models Reinforcement learning and control
Seeking:
Networking Research collaborations
Offering:
Employment opportunities Mentorship Research collaborations
2021-07-26

Rendani Mbuvha
University of Witwatersrand
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.
Areas of Interest:
Causal and Bayesian methods Climate finance Data mining Disaster prediction, management, and relief
Areas of Experience:
Causal and Bayesian methods Classification, regression, and supervised learning Data mining
Seeking:
Funding Research collaborations
2021-07-26

Sebastian Gerard
KTH Stockholm
PhD student working on self-supervised learning for satellite images. Planning to work on wildfire predictions.
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:
Networking Research collaborations
Offering:
Networking Research collaborations
2021-07-25
Nishan Srishankar
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).
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science Computer vision and remote sensing Generative modeling Hybrid physical models Interpretable ML Meta- and transfer learning Policy Reinforcement learning and control Time-series analysis Uncertainty quantification and robustness Unsupervised and semi-supervised learning
Seeking:
Academic positions Employment opportunities Networking Research collaborations
2021-07-25
Vivek Ramavajjala
DeepMind
I'm a Research Engineering Lead at DeepMind, working on applied research projects, and deploying ML in the real world.
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:
Mentorship Networking Research collaborations
2021-07-24

Thomas Soumarmon
Continental / DEEL.ai
Data Scientist willing to use my skills to tackle climate change. Currently on sabbatical year to find the best way to do it.
Areas of Interest:
Causal and Bayesian methods Climate and Earth science Climate justice Computer vision and remote sensing Disaster prediction, management, and relief Ecosystems and natural resources Forestry and other land use Generative modeling Uncertainty quantification and robustness Unsupervised and semi-supervised learning
Areas of Experience:
Causal and Bayesian methods Classification, regression, and supervised learning Computer vision and remote sensing Generative modeling Transportation Uncertainty quantification and robustness Unsupervised and semi-supervised learning

Industrial experience on deep learning, CV, SSL Research experience on OOD, generative models, bayesian "Kaggle" experience on remote sensing
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
2021-07-24

Ramit Debnath
University of Cambridge
Ramit Debnath is a computational social scientist. His research focuses on energy and climate justice in the built environment using tools from data science. He uses machine learning and AI to inform sustainability and policy decisions for climate repair. He is currently a Laudes Foundation Research Associate and a Gates-Cambridge Scholar at the Centre for Natural Material Innovation and Energy Policy Research Group at the University of Cambridge. Ramit is a visiting researcher at the International Energy Agency (IEA)’s Energy Efficiency Division, working on the social dimension of digitalisation. He has a background in electrical engineering and a PhD in Energy Policy from Cambridge.
Areas of Interest:
Behavioral and social science Buildings and cities Classification, regression, and supervised learning Climate justice Natural language processing Policy Power and energy Transportation
Areas of Experience:
Behavioral and social science Buildings and cities Classification, regression, and supervised learning Climate justice Natural language processing Policy Power and energy Societal adaptation
Seeking:
Academic positions Employment opportunities Funding Mentorship Networking Paid consulting Research collaborations Startup co-founder
Offering:
Mentorship Networking Paid consulting Research collaborations
2021-07-23

Aditya L. Ramadona
Department of Health Behaviour, Environment, and Social Medicine - Universitas Gadjah Mada
Areas of Interest:
Behavioral and social science Data mining
Areas of Experience:
Behavioral and social science Data mining
Seeking:
Networking Research collaborations
Offering:
Pro-bono consulting
2021-07-23

Levente Klein
IBM Research
I'm a research scientist at IBM Research working at the intersection of big data, geospatial intelligence and machine learning.
Areas of Interest:
Climate and Earth science
Areas of Experience:
Ecosystems and natural resources
Seeking:
Networking
Offering:
Research collaborations
2021-07-23
Jacob Bieker
Open Climate Fix
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.
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:
Active learning Classification, regression, and supervised learning Climate and Earth science Computer vision and remote sensing Data mining Time-series analysis

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:
Networking Pro-bono consulting Research collaborations
Offering:
Networking Research collaborations
2021-07-23

Ding Ning
University of Canterbury
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.
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science 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:
Employment opportunities Networking Research collaborations
Offering:
Networking Research collaborations
2021-07-23

Patrick Emami
University of Florida
I'm a PhD candidate at the University of Florida researching multi-object representation learning, reinforcement learning, and energy-efficient traffic intersection control.
Areas of Interest:
Buildings and cities Climate justice Transportation
Areas of Experience:
Generative modeling Reinforcement learning and control
Seeking:
Employment opportunities Research collaborations
Offering:
Networking Research collaborations
2021-07-23

Alex Kell
Imperial College London
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.
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:
Networking Paid consulting Research collaborations
Offering:
Networking Research collaborations
2021-07-23

Florin Gogianu
Bitdefender
I am a PhD student at the Technical University of Cluj-Napoca and researcher at Bitdefender working on Deep Reinforcement Learning.
Areas of Interest:
Climate and Earth science Power and energy Reinforcement learning and control Transportation
Areas of Experience:
Active learning Reinforcement learning and control Unsupervised and semi-supervised learning
Seeking:
Research collaborations
Offering:
Research collaborations
2021-07-23

Nathan Lambert
UC Berkeley
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.
Areas of Interest:
Climate and Earth science Power and energy Reinforcement learning and control
Areas of Experience:
Reinforcement learning and control
Seeking:
Research collaborations
Offering:
Pro-bono consulting
2021-07-23

Santosh Sharma
University of Central Florida
I am a PhD student at UCF. I am interested in applying mathematical optimization (decentralized and distributed algorithms) in multi-energy systems.
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:
Employment opportunities Funding Networking Research collaborations
2021-07-23

Sasha Luccioni
Mila + Université de Montréal
I am currently a Postdoctoral Researcher at the Mila Institute supervised by Yoshua Bengio, and a Computational Social Scientist at the UN Global Pulse.
Areas of Interest:
Behavioral and social science Climate finance Interpretable ML Natural language processing Societal adaptation
Areas of Experience:
Behavioral and social science Climate finance Natural language processing

My goal in research is to contribute towards understanding the data and techniques used for developing Machine Learning approaches, as well as to contribute to the growing field of ‘AI for Good’, applying AI to high-impact societal problems like climate change, health, education, and humanitarian response. Most recently, I have been working on analyzing the data used for training large language models, as well as quantifying the carbon footprint of AI algorithms
Seeking:
Employment opportunities
Offering:
Mentorship Paid consulting Research collaborations
2021-07-23

Merce Casas-Prat
Environment and Climate Change Canada
I am a research scientist studying marine climate extremes, with focus on ocean waves, and their impacts on coastal communities and offshore activities.
Areas of Interest:
Classification, regression, and supervised learning Climate and Earth science Computer vision and remote sensing Data mining Time-series analysis Uncertainty quantification and robustness
Areas of Experience:
Classification, regression, and supervised learning Climate and Earth science Data mining Time-series analysis
Seeking:
Research collaborations
2021-07-23

Julian de Hoog
University of Melbourne
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.
Areas of Interest:
Computer vision and remote sensing Power and energy Time-series analysis
Areas of Experience:
Industry Power and energy Time-series analysis Transportation
Seeking:
Research collaborations
Offering:
Research collaborations
2021-07-23

Konstantin Klemmer
University of Warwick, NYU
PhD student in geospatial machine learning, core team member at CCAI
Areas of Interest:
Climate and Earth science Disaster prediction, management, and relief Hybrid physical models Unsupervised and semi-supervised learning
Areas of Experience:
Buildings and cities Classification, regression, and supervised learning Computer vision and remote sensing Generative modeling Transportation

Geospatial machine learning, spatio-temporal machine learning, GeoAI, Urban informatics
Seeking:
Academic positions Employment opportunities
Offering:
Mentorship Networking Research collaborations
2021-07-22

Hari Prasanna Das
UC Berkeley
PhD Candidate at UC Berkeley working on Deep Generative Modeling and its applications in Smart Buildings.
Areas of Interest:
Buildings and cities
Areas of Experience:
Buildings and cities
Seeking:
Research collaborations
Offering:
Research collaborations
2021-07-22

David Rolnick
McGill University & Mila Quebec AI Institute
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.
Areas of Experience:
Classification, regression, and supervised learning Computer vision and remote sensing Ecosystems and natural resources
Seeking:
Research collaborations
Offering:
Academic positions Research collaborations
2021-07-22

Priya Donti
Carnegie Mellon University
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.
Areas of Interest:
Buildings and cities Climate justice Computer vision and remote sensing Hybrid physical models Industry Policy Power and energy Reinforcement learning and control Transportation Uncertainty quantification and robustness
Areas of Experience:
Hybrid physical models Policy Power and energy Reinforcement learning and control

I'm also interested in ways to better foster the deployment and scaling of useful climate-relevant work.
Seeking:
Research collaborations
Offering:
Mentorship Networking Research collaborations
2021-07-09
Felipe Oviedo
ML research at MSFT AI for Good
Areas of Interest:
Active learning Classification, regression, and supervised learning Generative modeling Hybrid physical models Recommender systems Unsupervised and semi-supervised learning
Areas of Experience:
Climate and Earth science Forestry and other land use Generative modeling Industry
2021-07-09

Evan David Sherwin
Stanford University, Energy Resources Engineering
Founding member of CCAI, Chair of Programs Committee. Studying decarbonizing hydrocarbons, particularly #methane.
Areas of Interest:
Behavioral and social science Carbon capture and sequestration Classification, regression, and supervised learning Policy Power and energy Time-series analysis Uncertainty quantification and robustness
Areas of Experience:
Behavioral and social science Carbon capture and sequestration Classification, regression, and supervised learning Policy Power and energy Time-series analysis Uncertainty quantification and robustness
2021-07-09

Peetak Mitra
Palo Alto Research Center
Scientist at Palo Alto Research Center working at the intersection of machine learning and computational physics.
Areas of Interest:
Active learning Classification, regression, and supervised learning Climate and Earth science Generative modeling Hybrid physical models Interpretable ML Power and energy Time-series analysis Transportation
Areas of Experience:
Climate and Earth science Hybrid physical models Time-series analysis