Climate Change AI Directory
Welcome to the (beta version of the) CCAI directory, a searchable list of people with experience and/or interest in doing impactful work at the intersection of climate change and machine learning.
You are currently viewing the public-facing list, but more information might be visible once you log in (or sign up)!
Our goal for this tool is to help users build connections, collaborations, and careers. If you have feedback or suggestions for improvements, please contact us at info@climatechange.ai!
Updated | 🤖 | Name | Affiliation | Location | Short Bio | Links | Interests/Experience | Seeking/Offering |
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2023-09-11
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Lee Jaehyeong
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None
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South Korea
|
I have huge interest and feel responsibility in Climate Change. Thoguh I think I am an amatur in AI, I will be a person who can make impact on climate change by ML.
|
Areas of Interest:
Classification, regression, and supervised learning
Climate and Earth science
Industry
Power and energy
Time-series analysis
Areas of Experience:
Classification, regression, and supervised learning
Computer vision and remote sensing
Natural language processing
|
Seeking:
Employment opportunities
Internships
Mentorship
Networking
Research collaborations
Offering:
Academic positions
Research collaborations
|
|
2023-09-11
|
|
Maria Jose DuarteTorres
|
universidad nacional de colombia
|
Colombia
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2023-09-08
|
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Sodiq Jinad
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Nigeria
|
|
Areas of Interest:
Carbon capture and sequestration
Classification, regression, and supervised learning
Climate and Earth science
Ecosystems and natural resources
Natural language processing
Time-series analysis
Areas of Experience:
Carbon capture and sequestration
Classification, regression, and supervised learning
Climate and Earth science
|
Seeking:
Academic positions
Data
Employment opportunities
Internships
Mentorship
Networking
Offering:
Networking
|
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2023-09-08
|
|
Tobias Lanzky
|
Denmark
|
|
Areas of Interest:
Behavioral and social science
Carbon capture and sequestration
Ecosystems and natural resources
Human-computer Interaction
Interpretable ML
Areas of Experience:
Climate finance
Climate justice
Industry
Policy
Societal adaptation
|
Seeking:
Academic positions
Employment opportunities
Networking
Offering:
Networking
Paid consulting
Pro-bono consulting
|
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2023-09-08
|
|
Francis Murray
|
Swiss Federal Institute of Technology (EPFL)
|
Lausanne, Switzerland
|
Senior CS grad student at EPFL, Switzerland, specializing in Data Science. Passionate about using Machine Learning to combat climate change and make a positive impact on the world.
|
Areas of Interest:
Behavioral and social science
Buildings and cities
Carbon capture and sequestration
Computer vision and remote sensing
Data mining
Interpretable ML
Natural language processing
Power and energy
Recommender systems
Time-series analysis
Transportation
Areas of Experience:
Carbon capture and sequestration
Data mining
Interpretable ML
Recommender systems
Time-series analysis
|
Seeking:
Academic positions
Internships
Looking to pursue a six-month Master's thesis at the intersection of AI and Climate Change. |
|
2023-09-01
|
|
Chris Dean
|
Brighton, United Kingdom
|
I am a seasoned CEO/CTO and startup founder who has been working in digital innovation for over 20 years. I am dedicating the second half of my working life to ClimateTech endevours to help address the climate crisis. I have a keen intrest in AI/Ml and am founding and supporting ClimateTech projects and start-up businesses which can leverage or be accelerated by AI and other digital processes and technologies.
|
Areas of Interest:
Agriculture
Carbon capture and sequestration
Climate and Earth science
Computer vision and remote sensing
Data mining
Disaster prediction, management, and relief
Generative modeling
Hybrid physical models
Natural language processing
Power and energy
Societal adaptation
Areas of Experience:
Agriculture
Buildings and cities
Carbon capture and sequestration
Computer vision and remote sensing
Natural language processing
Time-series analysis
My current work is focussed on using generative AI to optimise software systems to increase efficency and reduce power consumption, tackling the data centre power usage problem at source as well as other software/power related issues that are hiding in plain sight at scale. Happy to talk to anyone who may be interested in collaborating on this work. |
Seeking:
Data
Funding
Networking
Research collaborations
Startup co-founder
Offering:
Mentorship
Networking
Paid consulting
Pro-bono consulting
Research collaborations
Startup co-founder
|
||
2023-09-01
|
|
Jerry Chen
|
University of Cambridge
|
United Kingdom
|
PhD candidate working on causal machine learning, spatial econometrics, and epidemiology.
|
Areas of Interest:
Interpretable ML
Policy
Societal adaptation
Time-series analysis
Areas of Experience:
Behavioral and social science
Buildings and cities
Causal and Bayesian methods
|
|
|
2023-09-01
|
|
Vinicius Silva
|
Brazil
|
Computar Scientist and Public Policy Analyst at Federal Government
|
Areas of Interest:
Active learning
Agriculture
Behavioral and social science
Buildings and cities
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
Generative modeling
Human-computer Interaction
Hybrid physical models
Industry
Interpretable ML
Meta- and transfer learning
Natural language processing
Policy
Power and energy
Recommender systems
Reinforcement learning and control
Societal adaptation
Time-series analysis
Transportation
Uncertainty quantification and robustness
Unsupervised and semi-supervised learning
Areas of Experience:
Natural language processing
|
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2023-08-30
|
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Sara El Mekkaoui
|
DNV
|
Oslo, Norway
|
Researcher at DNV working on the safe application of Machine Learning techniques in industrial areas, including safety critical systems.
|
Areas of Interest:
Classification, regression, and supervised learning
Industry
Interpretable ML
Transportation
Areas of Experience:
Classification, regression, and supervised learning
Industry
Transportation
Uncertainty quantification and robustness
|
Seeking:
Networking
Research collaborations
Offering:
Networking
Research collaborations
|
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2023-08-28
|
|
Dan Campbell
|
The Green AI Foundation
|
Providence, RI, USA
|
Technology and sustainability leader looking to shape a better world through the use of AI/DS/ML!
|
Areas of Interest:
Agriculture
Carbon capture and sequestration
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
Natural language processing
Recommender systems
Time-series analysis
|
Seeking:
Funding
Mentorship
Networking
Research collaborations
Offering:
Internships
Mentorship
Networking
Paid consulting
Research collaborations
Startup co-founder
|
|
2023-07-27
|
|
Alex
|
Mila
|
Montreal
|
I am a postdoctoral researcher at Mila - Quebec Artificial Intelligence Institute, in Tiohtià:ke / Montréal, working with Prof. Yoshua Bengio and Prof. David Rolnick, since December 2020. I research applications of machine learning for accelerating scientific discoveries to fight climate change.
|
Areas of Interest:
Active learning
Carbon capture and sequestration
Classification, regression, and supervised learning
Generative modeling
Power and energy
Societal adaptation
Unsupervised and semi-supervised learning
Areas of Experience:
Active learning
Carbon capture and sequestration
Classification, regression, and supervised learning
Generative modeling
Power and energy
Unsupervised and semi-supervised learning
Scientific discovery, materials discovery |
Seeking:
Research collaborations
Offering:
Internships
Mentorship
Research collaborations
Looking for interns to work at Mila in Montreal on machine learning for scientific discovery. |
|
2023-07-21
|
|
Johannes Leon Kirnberger
|
OECD
|
Paris
|
I am a policy consultant for AI and sustainability at the OECD, and I previously led the program on climate action and biodiversity preservation at the Global Partnership on AI (GPAI) and the International Centre of Expertise in Montreal on AI (CEIMIA).
|
Areas of Interest:
Behavioral and social science
Climate and Earth science
Policy
Power and energy
Areas of Experience:
Climate and Earth science
Policy
|
Seeking:
Data
Research collaborations
Offering:
Mentorship
Networking
Research collaborations
|
|
2023-07-17
|
|
Vivek Pandit
|
Microsoft
|
Berkeley, CA
|
|
Areas of Interest:
Classification, regression, and supervised learning
Climate and Earth science
Natural language processing
Power and energy
Reinforcement learning and control
Areas of Experience:
Classification, regression, and supervised learning
Reinforcement learning and control
|
|
|
2023-07-17
|
|
Yuxuan Cai
|
UC berkeley
|
|
Areas of Interest:
Behavioral and social science
Buildings and cities
Climate finance
Data mining
Natural language processing
Time-series analysis
Unsupervised and semi-supervised learning
Areas of Experience:
Behavioral and social science
Buildings and cities
|
Seeking:
Academic positions
Internships
Research collaborations
Offering:
Data
Pro-bono consulting
|
||
2023-07-17
|
|
Piyush Yadav
|
Hong Kong University of Science and Technology
|
Hong Kong
|
|
|
|
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2023-07-17
|
|
Weld Lucas Cunha
|
phd
|
Brazil
|
Electrical Engineer | Graduate Student | Data Scientist | Lifelong Learner
|
Areas of Interest:
Classification, regression, and supervised learning
Climate and Earth science
Computer vision and remote sensing
Power and energy
Reinforcement learning and control
Time-series analysis
Uncertainty quantification and robustness
Unsupervised and semi-supervised learning
Areas of Experience:
Classification, regression, and supervised learning
Unsupervised and semi-supervised learning
|
Seeking:
Research collaborations
Offering:
Networking
|
|
2023-07-17
|
|
Đurđica V.
|
University of Rijeka
|
Croatia
|
PhD student enrolled in an „Informatics“ doctoral program with research interests in data science, graph theory, curriculum design, and education sciences, possesses skills in statistical analysis, programming, data visualization and leveraging data science techniques to uncover insights and solve complex problems (participated in several DS projects), passionate about AI for social good.
|
Areas of Interest:
Behavioral and social science
Climate and Earth science
Climate finance
Disaster prediction, management, and relief
Ecosystems and natural resources
Generative modeling
Interpretable ML
Natural language processing
Recommender systems
Societal adaptation
Transportation
Areas of Experience:
Behavioral and social science
Classification, regression, and supervised learning
Interpretable ML
Natural language processing
|
Seeking:
Data
Employment opportunities
Funding
Mentorship
Networking
Research collaborations
Offering:
Networking
Research collaborations
|
|
2023-07-17
|
|
Bill Eger
|
Arlington County
|
Arlington County, Virginia
|
Chief Climate Policy Officer for Arlington County, Virginia.
|
Areas of Interest:
Active learning
Agriculture
Behavioral and social science
Buildings and cities
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
Generative modeling
Human-computer Interaction
Hybrid physical models
Industry
Meta- and transfer learning
Natural language processing
Policy
Power and energy
Societal adaptation
Time-series analysis
Transportation
Uncertainty quantification and robustness
Unsupervised and semi-supervised learning
Areas of Experience:
Buildings and cities
Policy
Power and energy
Transportation
|
|
|
2023-07-17
|
|
Soumya Bhattacharyya
|
I am an US based IT professional working for more than 30 years in this field. However, from childhood, since I used to visit Kaziranga, a national park in eastern India with my Dad, I fell in love with wildlife and its conservation.
I could not pursue it because of peer pressure and eventually the need for paying bills. But the desire to meaningfully contribute in this area has always been in the back of my mind. I occassionally check out blogs and YouTube videos by scientists working in this area and I came across a few of your lectures and sessions.
I was hoping for a career change in this area. Hoping it would help I started pursuing a masters in AI and ML in my spare time recently.
Would you have any position in your team/ sphere of influence for helping me make this transition? I am open to suggestions and discussions.
|
Areas of Interest:
Ecosystems and natural resources
Areas of Experience:
Industry
|
Seeking:
Employment opportunities
|
|||
2023-07-17
|
|
Bartosz Boguslawski
|
Schneider Electric
|
France
|
Data Scientist and Data Science Team Manager. Interested in applications of AI to fight climate change.
|
Areas of Interest:
Active learning
Agriculture
Buildings and cities
Carbon capture and sequestration
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
Generative modeling
Industry
Interpretable ML
Meta- and transfer learning
Power and energy
Time-series analysis
Transportation
Unsupervised and semi-supervised learning
Areas of Experience:
Active learning
Buildings and cities
Classification, regression, and supervised learning
Computer vision and remote sensing
Data mining
Industry
Interpretable ML
Meta- and transfer learning
Power and energy
Time-series analysis
Unsupervised and semi-supervised learning
|
Seeking:
Networking
Research collaborations
Offering:
Employment opportunities
Internships
Networking
Research collaborations
|
|
2023-07-17
|
|
Harshal Nandigramwar
|
University of Stuttgart
|
Stuttgart, Germany
|
Researcher in computer vision, Building tech startups, Interested in research/co-founding opportunities in Climate Tech.
|
Areas of Interest:
Buildings and cities
Carbon capture and sequestration
Causal and Bayesian methods
Classification, regression, and supervised learning
Climate and Earth science
Climate finance
Computer vision and remote sensing
Disaster prediction, management, and relief
Ecosystems and natural resources
Generative modeling
Industry
Meta- and transfer learning
Power and energy
Societal adaptation
Transportation
Uncertainty quantification and robustness
Unsupervised and semi-supervised learning
Areas of Experience:
Causal and Bayesian methods
Computer vision and remote sensing
Uncertainty quantification and robustness
Unsupervised and semi-supervised learning
I have good experience building software applications and algorithms besides the mentioned areas of interest. |
Seeking:
Internships
Mentorship
Networking
Research collaborations
Startup co-founder
I am looking for some research/startup opportunities in the intersection of AI and climate/society. |
|
2023-07-17
|
|
Stephen Haben
|
Energy Systems Catapult
|
UK
|
Senior Data Science Consultant at Energy Systems Catapult and Visiting Researcher at the Mathematical Institute at Oxford University. Background in low voltage and smart meter data analytics, in particular load forecasting.
|
Areas of Interest:
Behavioral and social science
Buildings and cities
Classification, regression, and supervised learning
Climate finance
Industry
Power and energy
Time-series analysis
Uncertainty quantification and robustness
Areas of Experience:
Classification, regression, and supervised learning
Data mining
Power and energy
Time-series analysis
Uncertainty quantification and robustness
Background in load forecasting for low voltage distribution networks. In particular probabilistic load forecasting. Also work in clustering, meta-heuristic optimisation, and bootstrapping. Background in data assimilation for numerical weather prediction. |
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2023-07-03
|
|
Helen Jackson
|
ClimateNode
|
Cambridge, UK
|
ClimateNode is a not-for-profit using data science for physical risk intelligence with a current focus on NLP.
|
Areas of Interest:
Climate finance
Climate justice
Natural language processing
Societal adaptation
Areas of Experience:
Policy
I have a professional background in environmental economics/policy and climate finance and an academic background in physics |
Seeking:
Funding
Mentorship
Networking
Offering:
Data
Research collaborations
ClimateNode is always looking for opportunities to collaborate with like-minded partners. Please see website for more. |
|
2023-06-14
|
|
Kelvin Kwok
|
Technical University of Munich, Germany
|
Germany
|
Current student of MSc Technology of Biogenic Resources. With prior software engineering working experience and some experience in machine learning and deep learning (with Pytorch). Possess academic background in Chemistry and Earth System Science.
|
Areas of Interest:
Agriculture
Carbon capture and sequestration
Climate and Earth science
Ecosystems and natural resources
Industry
Power and energy
Areas of Experience:
Climate and Earth science
Power and energy
|
Seeking:
Employment opportunities
Internships
Mentorship
Looking for internships / freelance work / part-time remote work. |
|
2023-06-14
|
|
Seth Nyawacha
|
Technical University of Kenya
|
Kenya
|
Seth Nyawacha is an experienced and passionate Earth Observation Expert, with a proven track record in spatial analysis, ecosystem environmental modelling and system design.
He is keen in realizing impacts through citizen based scientific designs and solutions. He is also passionate about the application of Earth Observation and technology in achieving some of the main sustainable global goals including safe space for flora and fauna, peace, justice and strong institutions through patnerships.
|
Areas of Interest:
Agriculture
Carbon capture and sequestration
Climate and Earth science
Climate finance
Disaster prediction, management, and relief
Ecosystems and natural resources
Forestry and other land use
Areas of Experience:
Agriculture
Carbon capture and sequestration
Climate and Earth science
Climate finance
Disaster prediction, management, and relief
Ecosystems and natural resources
|
Seeking:
Data
Employment opportunities
Funding
Lacuna Fund Collaborations
Mentorship
Networking
Pro-bono consulting
Offering:
Networking
Research collaborations
Startup co-founder
|
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2023-06-14
|
|
Dina Rasquinha
|
WWF
|
USA
|
|
|
Areas of Interest:
Carbon capture and sequestration
Climate finance
Climate justice
Computer vision and remote sensing
Ecosystems and natural resources
Generative modeling
Societal adaptation
|
|
2023-06-05
|
|
Jesús M. Siqueiros
|
IIMAS-UNAM
|
Mérida, Yucatán
|
I work at the Applied Mathematics and Systems Research Institute, UNAM, México. My background is in Anthropology and Philosophy of Biology. I have experience articulating qualitative methods and computational modelling (Complex Networks and ABMs). My main focus of interest is participatory modelling to address sustainability issues with vulnerable groups, especially in their appropriation of AI technology. I am also interested in finding ways of representing data to non-literate populations for their use.
|
Areas of Interest:
Behavioral and social science
Buildings and cities
Causal and Bayesian methods
Climate and Earth science
Climate justice
Generative modeling
Human-computer Interaction
Societal adaptation
Areas of Experience:
Behavioral and social science
Societal adaptation
|
Seeking:
Networking
Research collaborations
Offering:
Internships
Mentorship
Research collaborations
|
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2023-06-05
|
|
Ivan Tigana
|
Indonesia
|
|
Areas of Interest:
Agriculture
Behavioral and social science
Buildings and cities
Carbon capture and sequestration
Climate and Earth science
Climate finance
Climate justice
Disaster prediction, management, and relief
Ecosystems and natural resources
Forestry and other land use
Industry
Policy
Power and energy
Societal adaptation
Transportation
Areas of Experience:
Industry
|
Seeking:
Data
Employment opportunities
Funding
Networking
Paid consulting
Startup co-founder
Offering:
Mentorship
Networking
Paid consulting
Research collaborations
Startup co-founder
|
||
2023-05-30
|
|
Maya Nalliah
|
University of California, Berkeley
|
Seattle, WA
|
I am currently pursuing a data science degree at UC Berkeley with a domain emphasis in Sustainable engineering, and minor in climate science. I am interested in AI, climate tech, and data analytics. I have done research in the sustainable fashion industry and climate tech and agriculture overlap.
|
Areas of Interest:
Carbon capture and sequestration
Climate and Earth science
Computer vision and remote sensing
Data mining
Power and energy
Areas of Experience:
Agriculture
Classification, regression, and supervised learning
Climate justice
|
Seeking:
Employment opportunities
Internships
Research collaborations
|
|
2023-05-30
|
|
KANOUO Christin Micael
|
Université de Yaoundé
|
Cameroun
|
Je suis KANOUO Christin Micael étudiant en première année doctorat. Je travaille sur le thème : Modélisation par apprentissage statistique des phénomènes climatiques et environnementaux.
|
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2023-05-30
|
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Edward Chen
|
Idemitsu Renewables
|
San Francisco
|
|
Areas of Interest:
Buildings and cities
Carbon capture and sequestration
Climate and Earth science
Climate finance
Power and energy
Areas of Experience:
Buildings and cities
Climate finance
Power and energy
|
Seeking:
Networking
Offering:
Networking
|
|
2023-05-30
|
|
Salem Afeworki
|
Value Sustainability
|
California, USA
|
Influential thought leader and practitioner with 16 years of experience in sustainability and renewable energy planning, stakeholder engagement, responsible business practices, and climate change services in four continents.
|
Areas of Interest:
Behavioral and social science
Buildings and cities
Carbon capture and sequestration
Policy
Power and energy
Areas of Experience:
Climate and Earth science
Policy
Power and energy
|
Seeking:
Data
Networking
Paid consulting
Pro-bono consulting
Research collaborations
Startup co-founder
Offering:
Networking
Pro-bono consulting
Research collaborations
|
|
2023-05-19
|
|
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
|
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2023-05-16
|
|
Rafay Ahmed
|
|
Areas of Interest:
Active learning
Classification, regression, and supervised learning
Climate justice
Data mining
Disaster prediction, management, and relief
Policy
|
Seeking:
Academic positions
Internships
Mentorship
Research collaborations
|
|||
2023-05-16
|
|
Miguel
|
University of Edinburgh
|
Edinburgh
|
|
Areas of Interest:
Computer vision and remote sensing
Unsupervised and semi-supervised learning
Areas of Experience:
Computer vision and remote sensing
Unsupervised and semi-supervised learning
Intersection of Computer Vision and Earth Observation. Interested in self-supervised models capable of learning semantically rich representations of satellite images. |
Seeking:
Networking
Research collaborations
|
|
2023-05-09
|
|
Guannan
|
Peking University
|
Beijing
|
I am an Assistant Professor at Peking University, where I direct the DREAM (Digital Renewable Energy Analysis and Management) Lab. I am interested in AI for energy modelling and management.
|
Areas of Interest:
Meta- and transfer learning
Power and energy
Reinforcement learning and control
Transportation
Areas of Experience:
Power and energy
|
Seeking:
Research collaborations
Offering:
Research collaborations
|
|
2023-05-09
|
|
Ankur Narang
|
Sigmoidstar
|
New Delhi
|
Across my 28 years of experience in Technology leadership positions, Research projects and across multiple entrepreneurial stints, I have led Tech and AI efforts in various verticals including Telecom, Social, Gaming, Ecommerce, Media, Education, Electronic Design Automation, Oil & Gas and others. I am interested in solving challenges at the intersection of Deep Tech (AI/Quantum/Blockchain/..) and Climate Change.
|
Areas of Interest:
Climate and Earth science
Generative modeling
Meta- and transfer learning
Power and energy
Reinforcement learning and control
Transportation
Unsupervised and semi-supervised learning
Areas of Experience:
Generative modeling
Meta- and transfer learning
Reinforcement learning and control
Unsupervised and semi-supervised learning
|
Seeking:
Funding
Networking
Research collaborations
Startup co-founder
Offering:
Mentorship
|
|
2023-05-08
|
|
Zhenning Yang
|
University of Michigan
|
Ann Arbor, MI
|
|
Areas of Interest:
Climate and Earth science
Computer vision and remote sensing
Natural language processing
Areas of Experience:
Computer vision and remote sensing
Data mining
Interpretable ML
Natural language processing
Time-series analysis
|
Seeking:
Academic positions
Networking
Research collaborations
|
|
2023-05-08
|
|
Bharathan Balaji
|
Amazon
|
Seattle
|
Applied Scientist at Amazon Sustainability. Focus on life cycle assessment and climate change risk assessment.
|
Areas of Interest:
Buildings and cities
Classification, regression, and supervised learning
Climate and Earth science
Industry
Reinforcement learning and control
Areas of Experience:
Buildings and cities
Classification, regression, and supervised learning
Reinforcement learning and control
|
Seeking:
Data
Research collaborations
Offering:
Employment opportunities
Funding
Internships
Paid consulting
|
|
2023-04-26
|
|
Mark Johnson
|
SilvaCarbon Anayltics
|
Portland Oregon, USA
|
Forest Carbon Biometrics Consultant
|
Areas of Interest:
Forestry and other land use
Areas of Experience:
Forestry and other land use
Forest inventory, carbon sequestration storage and potential, GIS system data analysis. |
Seeking:
Networking
Offering:
Pro-bono consulting
FUTURE: Dedicating my intellectual, physical and spiritual energies to helping solve the world's climate crisis. PAST: Accomplished senior-level software technology professional with extensive experience and proven results. A strong record of success in data analytics, technology marketing, business development, relationship management, strategic planning, and product delivery in competitive global markets. |
|
2023-04-25
|
|
Shakil Khan
|
Dhaka School of Economics, University of Dhaka
|
Dhaka, Bangladesh
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I am currently pursuing two Bachelor's degrees simultaneously, one in Environmental and Resource Economics from the University of Dhaka, and another one in Data Science and Applications from the Indian Institute of Technology Madras (IIT Madras).
|
Areas of Interest:
Climate and Earth science
Areas of Experience:
Time-series analysis
|
Seeking:
Employment opportunities
Offering:
Data
|
|
2023-04-21
|
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MEIYI LI
|
UT Austin
|
Austin
|
|
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2023-04-21
|
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Helena Yu
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Toronto, Canada
|
Helena is a seasoned Data Scientist and Strategist with experience across a range of industries, including technology, financial services, retail, and telecommunications. Her leadership in analytics projects and expertise in defining data strategy and creating analytics solutions have enabled her to drive tactical, operational, and strategic decision-making in close collaboration with cross-functional teams.
With her mastery of statistical and machine learning techniques, Helena optimizes revenue growth, enhancing customer experiences while reducing operational costs and revenue loss. She has led the development of a hybrid and sequence-aware recommender system proof of concepts, along with creating fraud detection, anomaly detection, and forecasting models. Notably, Helena led a pro bono team that conducted descriptive and natural language processing (NLP) analyses for Global Count, a survey that garnered over 32,000 responses from women and gender-diverse individuals in 173 countries and 17 languages. Additionally, she contributed to the creation of a predictive model to inform preventive interventions to end human trafficking in the United States
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Areas of Interest:
Climate justice
Disaster prediction, management, and relief
Societal adaptation
Areas of Experience:
Classification, regression, and supervised learning
Data mining
Ecosystems and natural resources
Policy
Recommender systems
Time-series analysis
|
Seeking:
Employment opportunities
Mentorship
Networking
Research collaborations
Offering:
Pro-bono consulting
|
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2023-04-21
|
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Matias Quintana
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Singapore-ETH Centre (SEC)
|
Singapore
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Postdoctoral Researcher in SEC and affiliated with the National University of Singapore (NUS). Currently working on urban-scale problems with different data streams.
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Areas of Interest:
Computer vision and remote sensing
Power and energy
Recommender systems
Reinforcement learning and control
Time-series analysis
Transportation
Areas of Experience:
Active learning
Buildings and cities
Classification, regression, and supervised learning
|
Seeking:
Research collaborations
Offering:
Data
Mentorship
Networking
|
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2023-04-21
|
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Nicholas Hughes
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USA
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Product manager-turned-quant enabling technical solutions to environmental challenges.
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Areas of Interest:
Carbon capture and sequestration
Classification, regression, and supervised learning
Climate and Earth science
Climate finance
Computer vision and remote sensing
Disaster prediction, management, and relief
Ecosystems and natural resources
Forestry and other land use
Interpretable ML
Meta- and transfer learning
Power and energy
Recommender systems
Societal adaptation
Time-series analysis
Areas of Experience:
Active learning
Causal and Bayesian methods
Classification, regression, and supervised learning
Natural language processing
Time-series analysis
Uncertainty quantification and robustness
|
Seeking:
Employment opportunities
Internships
Mentorship
Networking
Paid consulting
Pro-bono consulting
Research collaborations
Startup co-founder
Seeking opportunities and spaces to apply ML/AI to climate centric challenges. Currently looking for employment and keeping busy with challenges in the mean time. |
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2023-04-21
|
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Hassan Rostam
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California
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I am a business/finance professional helping entrepreneurs start and grow sustainable businesses. My interests are AI, climate, philosophy and food art, separately and their intersections.
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Areas of Interest:
Buildings and cities
Carbon capture and sequestration
Climate finance
|
Offering:
Mentorship
Networking
Paid consulting
Pro-bono consulting
Research collaborations
|
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2023-04-21
|
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Nathan Kiner
|
Sunjul
|
Berlin, Germany
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Entrepreneur in climate tech (cleantech / agritech) and data science lead. Previously Google Maps, Google Research, working on Earth Observation and 3D world reconstruction.
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Areas of Experience:
Agriculture
Buildings and cities
Classification, regression, and supervised learning
Computer vision and remote sensing
Forestry and other land use
Power and energy
Recommender systems
|
Seeking:
Data
Funding
Networking
Startup co-founder
Offering:
Mentorship
Networking
Paid consulting
Startup co-founder
|
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2023-04-21
|
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Simon Maris
|
Hochschule Trier
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Leipzig / Trier
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|
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2023-04-06
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Akansha Singh Bansal
|
Gro Intelligence
|
San Francisco, CA
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Develops computer vision models using satellite data for social good, climate and, sustainability.
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Areas of Interest:
Computer vision and remote sensing
Unsupervised and semi-supervised learning
Areas of Experience:
Agriculture
Climate and Earth science
Computer vision and remote sensing
Power and energy
Unsupervised and semi-supervised learning
|
Seeking:
Employment opportunities
Research collaborations
Offering:
Mentorship
|
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2023-03-21
|
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Bobin Wang
|
Laval University
|
Canada
|
I am an assistant professor in the Department of Mechanical Engineering at Université Laval. My major is Transportation Engineering, my research focuses on Transportation and Climate Change, the interaction of AI and Decision-Making Theories, Mobility as a Service (MaaS), Transportation Network Analysis, and Econometric and Statistical Modelling. I have wealthy working and research experience in China, Europe, and North America, and have published more than 40 papers and 2 monographs in authority journals in Transportation. As an emerging researcher, my future research will focus on climate change, smart cities, and intelligent transportation systems using AI techniques. My current projects all focus on solving climate change issues caused by transportation. If you are interested, please feel free to contact me at bobin.wang@gmc.ulaval.ca. Hope to have a chance to collaborate with you in the future!
|
Areas of Interest:
Behavioral and social science
Buildings and cities
Causal and Bayesian methods
Classification, regression, and supervised learning
Climate finance
Interpretable ML
Policy
Time-series analysis
Transportation
Areas of Experience:
Behavioral and social science
Buildings and cities
Causal and Bayesian methods
Classification, regression, and supervised learning
Climate finance
Interpretable ML
Policy
Time-series analysis
Transportation
Transportation Engineering |
Seeking:
Funding
Research collaborations
Startup co-founder
Offering:
Employment opportunities
Internships
Recruiting MSc and Ph.D. students |
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2023-03-15
|
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Khaled Mohamad
|
Researcher
|
South Africa
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I am an accomplished Ph.D. in Material Science Engineering with a deep interest in sustainable energy and machine learning. As a member of the Climate Change AI community, I am dedicated to finding innovative solutions to the challenges posed by climate change. My research focuses on solar energy and how machine learning can be leveraged to create a sustainable, low-carbon, affordable, and equitable energy system. I am passionate about reducing greenhouse gas emissions and helping society adapt to the effects of climate change. With my knowledge and dedication, I am poised to make a significant impact in the field of sustainable energy and climate change.
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|
Areas of Interest:
Causal and Bayesian methods
Classification, regression, and supervised learning
Industry
Interpretable ML
Power and energy
Time-series analysis
Areas of Experience:
Industry
Power and energy
|
Seeking:
Employment opportunities
Internships
Networking
Research collaborations
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2023-03-15
|
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Peter Oseghale Ohue
|
University of Ibadan
|
Nigeria
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I am a computational statistics Ph.D. student. In order to understand socio-economic phenomena, I describe causal inference using graph machine learning. I am also developing conversational AI and machine translation using various types of data, including climate data. I am interested in the nexus of econometrics, machine learning, and cyber security.
|
Areas of Interest:
Causal and Bayesian methods
Climate and Earth science
Generative modeling
Natural language processing
Policy
Unsupervised and semi-supervised learning
Areas of Experience:
Causal and Bayesian methods
Disaster prediction, management, and relief
Generative modeling
Policy
Probabilistic Graphical Modelling |
Seeking:
Employment opportunities
Funding
Internships
Research collaborations
Offering:
Mentorship
|
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2023-03-15
|
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Oscar Rodriguz
|
Estudiante
|
Bogota Colombia
|
I am an electronic engineer and student in meteorology at the National University of Colombia.
My interest is to use artificial intelligence to create tools that help in the agricultural sector.
|
My personal interests are in the agricultural sector and risk management in crops, fauna and climate change scenarios. |
|
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2023-03-15
|
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Moshood Olawale Mustapha
|
StrikeClimate
|
Nigeria
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He is a software and machine learning engineer with a background in geomatics engineering.
He is passionate about the application of artificial intelligence and machine learning to geospatial development and analysis in building real-life projects that provides solutions to global warming, disaster management, predictions, optimizing agricultural processes, and many others.
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Areas of Interest:
Agriculture
Computer vision and remote sensing
Disaster prediction, management, and relief
Time-series analysis
Areas of Experience:
Classification, regression, and supervised learning
Computer vision and remote sensing
|
Seeking:
Employment opportunities
Mentorship
Networking
Research collaborations
Offering:
Startup co-founder
I am currently working on StrikeClimate https://strikeclimate.com/ and a startup co-founder with experience and expertise in climate analysis and prediction is open. |
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2023-02-28
|
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Rufai Yusuf Zakari
|
Universiti Brunei Darussalam
|
Brunei Darussalam
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As an aspiring Data Scientist currently pursuing a Ph.D. in the School of Digital Science at Universiti Brunei Darussalam, my research interests lie in the fields of Forest Aboveground Biomass and Carbon Sequestration, with a focus on incorporating sustainable climate change practices.
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Areas of Interest:
Carbon capture and sequestration
Classification, regression, and supervised learning
Computer vision and remote sensing
Forestry and other land use
Areas of Experience:
Carbon capture and sequestration
Classification, regression, and supervised learning
Computer vision and remote sensing
Forestry and other land use
|
Seeking:
Data
Employment opportunities
Funding
Internships
Mentorship
Research collaborations
|
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2023-02-26
|
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Giannis Tolios
|
Independent Researcher
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Thessaloniki, Greece
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I currently work as a sustainability data scientist, and I'm intending to conduct independent research at the intersection of climate change and machine learning. I am highly proficient in data analysis, time series forecasting, supervised machine learning and natural language processing. Furthermore, I have substantial knowledge in the domains of climate change, biodiversity and sustainability in general.
|
Areas of Interest:
Classification, regression, and supervised learning
Climate and Earth science
Ecosystems and natural resources
Natural language processing
Power and energy
Time-series analysis
Areas of Experience:
Classification, regression, and supervised learning
Climate and Earth science
Time-series analysis
|
Seeking:
Networking
Research collaborations
Offering:
Research collaborations
|
|
2023-02-21
|
|
Mother Earth AI
|
Berlin
|
We give a voice to Mother Earth.
The AI is trained with the Universal Declaration of the Rights of Mother Earth (http://w.wiki/5$7u).
|
Areas of Interest:
Active learning
Behavioral and social science
Climate justice
Ecosystems and natural resources
Policy
Societal adaptation
Areas of Experience:
Behavioral and social science
Climate justice
Human-computer Interaction
Societal adaptation
|
Seeking:
Funding
Mentorship
Networking
Startup co-founder
Offering:
Mentorship
Networking
Startup co-founder
|
||
2023-02-21
|
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Osama Hadba
|
Istanbul, TR
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|
|
|
||
2023-02-21
|
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dinesh Kumar Mahto
|
MNIT Jaipur
|
Jaipur, India
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I am pursuing a Ph.D. degree in Electrical Engineering at the Malaviya National Institute of Technology (MNIT) Jaipur India. My research revolves around Data-driven optimal power flow in active distribution network.
My academic areas of interest in Data analysis, Machine learning in Smart Grid applications. These days, I am using deep learning algorithms to develop scalable and computation-efficient models for complex networks.
|
Areas of Interest:
Classification, regression, and supervised learning
Interpretable ML
Power and energy
Time-series analysis
Transportation
Uncertainty quantification and robustness
Areas of Experience:
Classification, regression, and supervised learning
Power and energy
|
Seeking:
Academic positions
Research collaborations
|
|
2023-02-21
|
|
Shuo Wang
|
Beijing Normal University
|
Beijing
|
|
Areas of Interest:
Computer vision and remote sensing
Time-series analysis
Areas of Experience:
Computer vision and remote sensing
Data mining
Hybrid physical models
|
Seeking:
Academic positions
Employment opportunities
Internships
Mentorship
Networking
Research collaborations
Offering:
Data
Research collaborations
|
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2023-02-21
|
|
Carolina Soriano
|
- Bachelor in Forest engineer
- Master in Applied Ecology
- Post Graduation in Environment and Climate Change
- MBA in Data science and Analytics
|
Areas of Interest:
Climate and Earth science
Climate finance
Forestry and other land use
Areas of Experience:
Carbon capture and sequestration
Climate and Earth science
Climate finance
|
Seeking:
Data
Mentorship
Networking
Paid consulting
|
|||
2023-02-21
|
|
Jie Zhao
|
Technische Universität München
|
Currently, I am a Postdoc focusing on large-scale flood mapping using earth observation data at the department of Data Science in Earth observation, Technical University of Munich. My research interests broadly lie in flood mapping, deep learning, and SAR image analysis.
|
Areas of Interest:
Buildings and cities
Classification, regression, and supervised learning
Disaster prediction, management, and relief
Areas of Experience:
Computer vision and remote sensing
Disaster prediction, management, and relief
|
Seeking:
Academic positions
Data
Funding
Research collaborations
Offering:
Research collaborations
|
||
2023-02-13
|
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Ding Ning
|
University of Canterbury
|
Christchurch, New Zealand
|
I am a PhD candidate in Computational and Applied Mathematics at the University of Canterbury. My work is on machine learning for forecasting spatiotemporal anomalies and its applications to the climate domain.
|
Areas of Interest:
Classification, regression, and supervised learning
Climate and Earth science
Computer vision and remote sensing
Data mining
Time-series analysis
Unsupervised and semi-supervised learning
Areas of Experience:
Classification, regression, and supervised learning
Climate and Earth science
Data mining
|
Seeking:
Employment opportunities
Networking
Research collaborations
Offering:
Networking
Research collaborations
|
|
2023-02-07
|
|
Begashaw Meberate
|
CEO
|
Ethiopia
|
My name is Begashaw Meberate a seasoned agricultural Expert by profession and an Agripreuner by passion from Ethiopia. I have a master's Degree in Rural development management from Bahir Dar University with 15 years of experience in the field of agriculture and the rural development sector.
I am the CEO and Founder of Bfarm-Tech. It is a startup digital mechanization company that has been providing mechanization services for smallholder farmers in Ethiopia since January 2020. Recently, we have developed a digital platform using IoT, ML, a mobile app, and a call center that aims to connect farmers with mechanization service providers in Ethiopia.
|
Areas of Interest:
Active learning
Agriculture
|
Seeking:
Funding
Lacuna Fund Collaborations
Networking
Offering:
Employment opportunities
Networking
|
|
2023-01-31
|
|
Tsilavo RAKOTO
|
Madagascar
|
|
Areas of Interest:
Agriculture
Carbon capture and sequestration
Disaster prediction, management, and relief
Forestry and other land use
|
|
||
2023-01-31
|
|
Anurag Sharma
|
Punjab, India
|
I am about to graduate with a Bachelor of Technology in Computer Engineering degree in June 2023 from Punjabi University, Patiala.
Looking forward to increasing my knowledge & experience in tech especially AI/ML and environmental sustainability.
|
I'm yet to explore my area of interests and gain experience based on top of that. |
Seeking:
Employment opportunities
Internships
Mentorship
Networking
|
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2023-01-31
|
|
Erol Hoke
|
Apiday
|
London
|
Co-founder of a data science start up that uses NLP and innovative data architecture to allow companies to better manage their ESG data across all topics not just carbon. Passionate about creating real change to tackle the climate crisis.
|
|
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|
2023-01-23
|
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Frank Stein
|
Virginia Tech
|
Virginia, US
|
Frank is on the faculty of the Intelligent Systems Department of Virginia Tech where he focuses on AI adoption issues, including trustworthy systems, human-machine teaming, and digital engineering. He is very interested in the application of AI and other innovations to help mitigate and adapt to climate change. He was co-chair of the AAAI Fall Symposium on "The Role of AI in responding to the Climate Challenge." He is also on the IEEE Planet Positive 2030 task force focusing on Mitigation and Adaptation strategies.
|
Areas of Interest:
Buildings and cities
Carbon capture and sequestration
Disaster prediction, management, and relief
Power and energy
Societal adaptation
|
|
|
2023-01-23
|
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Priya Dwivedi
|
Deep Learning Analytics, Georgia Tech, IIT Delhi
|
Toronto
|
I am the CEO of a startup that provides Machine Learning consulting to companies around the globe. I have 5 years+ experience applying deep learning to a variety of projects in computer vision and NLP domain. I am passionate about applying AI and very nervous about climate change. I am looking to collaborate with others to build useful applications.
|
Areas of Experience:
Carbon capture and sequestration
Classification, regression, and supervised learning
Computer vision and remote sensing
Forestry and other land use
Meta- and transfer learning
Natural language processing
Unsupervised and semi-supervised learning
I have 5+ years experience in Machine Learning techniques across computer vision, NLP and time series modeling. I am looking to contribute to the problem of climate change. I am particularly interested in remote sensing applications involving forestry and land use as well as carbon capture and sequestration |
Seeking:
Research collaborations
Startup co-founder
Offering:
Mentorship
Pro-bono consulting
Research collaborations
Startup co-founder
I am looking to collaborate with others on research related to remote sensing applications. I have founded a startup that I currently lead. I am also interested in partnering with others on potential startup at the intersection of climate change and ML. |
|
2023-01-23
|
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AMIT KUMAR
|
INDIAN INSTITUTE OF TROPICAL METEOROLOGY, PUNE
|
INDIA
|
Ph.D. research scholar working in the field of Atmospheric Science
|
|
Areas of Interest:
Climate and Earth science
Areas of Experience:
Climate and Earth science
|
Seeking:
Employment opportunities
Mentorship
Research collaborations
|
2023-01-23
|
|
Nick Hassam
|
Reask
|
Australia
|
Nick is co-founder and Chief Commercial Officer of Reask and an expert in the application of technology to the global re/insurance industry, to help better understand the impact of natural catastrophes. He has 25 years’ professional experience with for organisations and in markets across the globe. In close collaboration with the Reask team, partners and clients, Nick is helping define the future of catastrophe and climate modelling.
|
Areas of Interest:
Climate and Earth science
Climate finance
Computer vision and remote sensing
Disaster prediction, management, and relief
Industry
Areas of Experience:
Climate and Earth science
Climate finance
Computer vision and remote sensing
Disaster prediction, management, and relief
|
Seeking:
Data
Networking
Offering:
Data
Employment opportunities
Internships
Mentorship
Networking
Research collaborations
|
|
2023-01-23
|
|
Ali Akbar Rezazadeh
|
Sharif University of Technology
|
Iran
|
|
Areas of Interest:
Buildings and cities
Classification, regression, and supervised learning
Data mining
Industry
Power and energy
Societal adaptation
Time-series analysis
Transportation
|
|
|
2023-01-23
|
|
Association internationale pour Medina-Mary (AIMM)
|
AIMM
|
Dakar (Sénégal)
|
L’Association internationale pour Médina-Mary (AIMM), a été créée en 2005. Elle oeuvre pour l'amélioration des vie des populations du terroir de Médina-Mary, à 600 km, au sud-est de Dakar. ce terroir est composé de 7 villages qui ont une population totale de 10.000 habitants. Depuis, sa création, l'AIMM sert de trait- d’union entre la population et l’Etat du Sénégal. Ses nombreux plaidoyers auprès de l’administration et actions ont permis au terroir de disposer d'un dispensaire, d'une maternité, d'une école maternelle, d'un collège, d'un bureau de poste, d'un forage multi-village, d'une mini-laiterie communautaire, d'une antenne relais de télécommunication pour les mobiles et connexion internet, etc...
Education
- soutien en fournitures scolaires et pédagogiques à l’école de Médina-Mary
- célébration annuelle de la Fête de la Francophonie à l’école de Médina-Mary
- implantation d’un CEM à Médina-Mary
- ouverture d’une école maternelle à Médina-Mary.
|
Areas of Interest:
Climate finance
Areas of Experience:
Ecosystems and natural resources
-Aménagement et reboisement sur un site d’un hectare à Médina-Mary, sur financement de l’Ambassade de France au Sénégal -Aménagement d’un jardin maraicher solaire à l’école primaire de Médina-Mary, sur financement de l’Ambassade de Suisse au Sénégal - Aménagement d’un bois d’école à l’école primaire de Médina-Mary sur financement école primaire Hansel et Gretel de Vuisternens-devant-Romont (Suisse) -Construction et renforcement du système d’électrification par panneaux solaires d'une mini-laiterie à Médina-Mary avec le soutien de l'Ambassade de Suisse au Sénégal - Installation du système d’électrification par panneaux solaires du poste de santé de Médina-Mary, sur financement de l’Ambassade de Suisse au Sénégal - Construction d’une salle de classe à l’école primaire de Médina-Mary sur financement de la Fondation Ramsay de Bâle (Suisse) - Collecte de fonds et réhabilitation de la toiture de la première salle de classe de l’école de Médina-Mary, construite en 1963, -Réfection de portes et fenêtres d’une autre salle de classe à Médina-Mary -Campagne conjointe AIMM/OIM, de sensibilisation des jeunes contre la migration irrégulière sur financement de l’UE. |
Seeking:
Funding
Offering:
Lacuna Fund Collaborations
|
|
2023-01-23
|
|
Amos Olwendo
|
Lecturer at Jomo Kenyatta University of Agriculture & Technology
|
Kenya
|
I am a Lecturer of Health Informatics with a passion for machine applications and am eager to apply my skills to sustainability challenges.
|
Areas of Interest:
Causal and Bayesian methods
Classification, regression, and supervised learning
Data mining
Unsupervised and semi-supervised learning
Areas of Experience:
Classification, regression, and supervised learning
Unsupervised and semi-supervised learning
|
Seeking:
Research collaborations
Offering:
Research collaborations
|
|
2023-01-23
|
|
Bruno Adriano
|
International Research Institute of Disaster Science, Tohoku University
|
Japan
|
Bruno Adriano is an associate professor at the International Research Institute of Disaster Science, Tohoku University, and visiting researcher at the Interdisciplinary Graduate School of Science and Technology at the Tokyo Institute of Technology. His research interests include earth observation, machine learning, and high-performance computer simulation technologies with applications to disaster management and environmental monitoring.
|
Areas of Interest:
Disaster prediction, management, and relief
Areas of Experience:
Classification, regression, and supervised learning
Computer vision and remote sensing
Unsupervised and semi-supervised learning
|
Seeking:
Research collaborations
Offering:
Data
Employment opportunities
|
|
2023-01-23
|
|
Marius Wiggert
|
UC Berkeley
|
Berkeley, California, USA
|
Hi, I'm Marius and working on applying robotics and control techniques to scale climate action. Currently working on floating seaweed farms with Phykos PBC and exploring other opportunities within this theme.
|
Areas of Interest:
Carbon capture and sequestration
Computer vision and remote sensing
Ecosystems and natural resources
Power and energy
Reinforcement learning and control
Areas of Experience:
Agriculture
Carbon capture and sequestration
Ecosystems and natural resources
Reinforcement learning and control
|
Seeking:
Research collaborations
Startup co-founder
Offering:
Mentorship
Paid consulting
|
|
2023-01-23
|
|
Saman Halgamuge
|
University of Melbourne
|
Melbourne, Australia
|
Professor working on FAIR AI, that is explainable AI with democratised access.
|
Areas of Interest:
Classification, regression, and supervised learning
Climate and Earth science
Generative modeling
Interpretable ML
Power and energy
Time-series analysis
Transportation
Unsupervised and semi-supervised learning
Areas of Experience:
Classification, regression, and supervised learning
Computer vision and remote sensing
Generative modeling
Interpretable ML
Power and energy
Unsupervised and semi-supervised learning
|
|
|
2023-01-23
|
|
Alice Lépissier
|
Brown University
|
Providence, RI
|
Data scientist and computational social scientist with 10+ years of experience in global climate policy and international development. Deep domain expertise in sustainable investment, climate finance, carbon markets, and illicit finance demonstrated by peer-reviewed publications in top scientific journals. Skilled in bridging research and policy interface by combining quantitative research with pragmatic policy proposals, and experienced in high-level political advocacy (UN, NGOs). Specialty is communicating complex concepts in a clear and impactful way to different stakeholders (policy-makers, media, students).
|
Areas of Interest:
Behavioral and social science
Classification, regression, and supervised learning
Climate finance
Policy
Areas of Experience:
Behavioral and social science
Climate finance
Policy
|
Seeking:
Employment opportunities
Networking
Paid consulting
Offering:
Networking
Paid consulting
After my postdoc, I will be looking for industry roles where I can leverage my domain expertise in climate finance while staying at the cutting-edge of stats and AI. Functionally, I want a job where I am coding every day and where I can be a thought leader on using the private sector to accelerate the green transition. |
|
2023-01-18
|
|
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
Transportation
Areas of Experience:
Classification, regression, and supervised learning
Computer vision and remote sensing
Meta- and transfer learning
Reinforcement learning and control
|
Seeking:
Employment opportunities
Mentorship
Networking
Offering:
Networking
|
|
2023-01-05
|
|
Alireza Shams
|
Data Scientist & Process Analytics at Svante Inc.
|
Ph.D. in Chemical Engineering with over 15 years of experience as a data scientist & process specialist in energy, acid gas removal & CO2 capture, materials, liquid-crystal polymers, biotechnology, and environmental projects.
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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
Data 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
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2022-12-24
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SIDDHA GANJU
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Senior Scientist Nvidia
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Currently, I am an Architect at Nvidia focusing on the AI optimization for Medical instruments, Floods and Climate and Self-driving cars. I work towards stable and scalable training of neural networks on very large data centers, and utilize simulation to validate the neural networks.
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2022-12-23
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Harris Chalat
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Muir AI
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Seattle
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Co-founder and CEO of Muir AI
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Areas of Interest:
Classification, regression, and supervised learning
Climate and Earth science
Computer vision and remote sensing
Areas of Experience:
Computer vision and remote sensing
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Offering:
Employment opportunities
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2022-12-23
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Kunal Khurana
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Research Assistant
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Montréal
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I am a soil physicist broadly trained in agronomy, soil fertility, and plant nutrition. As a researcher, I seek answers to the fundamental questions about agricultural water management and soil health amelioration in the different (agro)ecosystems. My specific research interests include studying and improving available crop water and nutrient (carbon, nitrogen, etc.) uptake efficiency using machine learning tools.
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Areas of Interest:
Classification, regression, and supervised learning
Areas of Experience:
Agriculture
Carbon capture and sequestration
Classification, regression, and supervised learning
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Seeking:
Funding
Paid consulting
Research collaborations
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2022-12-09
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Peter Van Katwyk
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Brown University
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Providence, RI
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I am a PhD student at Brown University studying climate emulation of ice sheets. In particular, I am interested in using NN-based models to emulate the relationship between AIS melt and Sea Level Rise.
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Areas of Interest:
Causal and Bayesian methods
Climate and Earth science
Generative modeling
Uncertainty quantification and robustness
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2022-12-09
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Christopher Whidden
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Dalhousie University
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Halifax, Canada
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Algorithms and Machine Learning Researcher interested in solving applied problems for oceans and climate change. Current research includes automating computer vision monitoring of fish, analysis of marine vessel CO2 emissions, and predicting ocean contaminant dispersion.
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Areas of Interest:
Carbon capture and sequestration
Climate and Earth science
Ecosystems and natural resources
Power and energy
Areas of Experience:
Classification, regression, and supervised learning
Computer vision and remote sensing
Unsupervised and semi-supervised learning
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Seeking:
Data
Funding
Paid consulting
Research collaborations
Often seeking PhD students or postdocs interesting in applied algorithm or machine learning research for oceans and climate change. |
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2022-12-09
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Tim Sowa
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Fulbright Finland Foundation, Tampere University, Bowdoin College
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Finland - NYC
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Currently in Finland on a Fulbright grant studying Digital Sustainability
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Areas of Interest:
Active learning
Behavioral and social science
Human-computer Interaction
Societal adaptation
Areas of Experience:
Behavioral and social science
Human-computer Interaction
Policy
Societal adaptation
Digitalization and Transformation Strategy, Organizational Readiness and Adaptation, Public Education Administration |
Seeking:
Academic positions
Employment opportunities
Funding
Networking
Paid consulting
Research collaborations
Offering:
Mentorship
Networking
Pro-bono consulting
Research collaborations
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2022-11-29
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Kim Bente
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University of Sydney, ARC Training Centre in Data Analytics for Resources and Environments (DARE)
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Sydney, Australia
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Data Science PhD student working on Probabilistic Machine Learning methods for the Polar Climate Sciences.
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Areas of Interest:
Causal and Bayesian methods
Climate and Earth science
Data mining
Ecosystems and natural resources
Human-computer Interaction
Interpretable ML
Uncertainty quantification and robustness
Areas of Experience:
Causal and Bayesian methods
Data mining
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2022-11-26
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Davis Marques
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Blue Carbon Pty. Ltd.
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Melbourne, Australia
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Chief operations officer for Blue Carbon
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2022-11-26
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Andrew Williams
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Mila
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Montreal
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Machine learning researcher interested in climate change, economics, multi-agent reinforcement learning, agent-based modelling and interaction.
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Areas of Interest:
Behavioral and social science
Climate finance
Human-computer Interaction
Industry
Policy
Reinforcement learning and control
Areas of Experience:
Behavioral and social science
Reinforcement learning and control
Interested in collaborations across academia, policy and industry, as well as how to use multi-agent reinforcement learning to help solve high-impact problems |
Seeking:
Mentorship
Research collaborations
Offering:
Mentorship
Networking
Research collaborations
Always up for a quick chat if my current bandwidth allows :) |
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2022-11-26
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Paula Harder
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Fraunhofer Institute, Mila
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Germany
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I am a Ph.D. student working on deep learning for climate modeling together with the Fraunhofer ITWM, the University of Oxford, and Mila. I am particularly interested in integrating physics constraints into neural networks and speeding up climate models with ML. I worked with aerosol models, wildfires, and super-resolution.
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Areas of Interest:
Classification, regression, and supervised learning
Climate and Earth science
Generative modeling
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2022-11-26
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Joshua Tabor Dimasaka
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University of Cambridge
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Cambridge, United Kingdom
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Postgraduate Researcher at Cambridge AI for the study of Environmental Risks
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Areas of Interest:
Causal and Bayesian methods
Disaster prediction, management, and relief
Areas of Experience:
Buildings and cities
Disaster prediction, management, and relief
|
Seeking:
Academic positions
Data
Employment opportunities
Funding
Internships
Paid consulting
Research collaborations
Startup co-founder
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2022-11-26
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Sagar Garg
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Applied Data Scientist with 5+years experiences in Startups, MNCs, Academia. Have worked on many climate science + AI projects, won international hackathons and collaborated with top researchers in India and Germany. Previously have helped scale some of India's top Internet Startups
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Areas of Interest:
Agriculture
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
Industry
Interpretable ML
Natural language processing
Policy
Power and energy
Recommender systems
Time-series analysis
Transportation
Uncertainty quantification and robustness
Unsupervised and semi-supervised learning
Areas of Experience:
Agriculture
Carbon capture and sequestration
Causal and Bayesian methods
Classification, regression, and supervised learning
Climate and Earth science
Climate finance
Computer vision and remote sensing
Data mining
Forestry and other land use
Generative modeling
Industry
Interpretable ML
Natural language processing
Time-series analysis
Uncertainty quantification and robustness
Have worked in various research roles in Climate+AI, including publications and presentations. Currently a Senior Data Scientist in Industry working on state-of-the-art machine learning models. |
Seeking:
Employment opportunities
Networking
Paid consulting
Pro-bono consulting
Research collaborations
Offering:
Networking
Research collaborations
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2022-11-26
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Robert Murphy
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Breakthrough Energy / Othersphere
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BC, Canada
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Breakthrough Energy Fellow and founder Othersphere, a startup venture focused on location optimization for zero / low GHG industrial assets.
Volunteering includes board of Berkeley Earth and steering committee for Carbon Mapper project.
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Offering:
Employment opportunities
Pro-bono consulting
Will be posting periodically about opportunities with Othersphere. |
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2022-11-26
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Marcel MAVINGA
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CONGO D. R.
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I'm a coordinator of Action for the Safeguard of the Environment and Development (ASED), a non-profit organization working on the ground in the Democratic Republic of the Congo. Especially in increasing awareness of people in the Climate Change matters
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Areas of Interest:
Climate finance
Areas of Experience:
Climate finance
Congo Basin Peat land researcher |
Seeking:
Funding
Offering:
Research collaborations
we provide for partners feasibility stuties concerning the Congo D. R. |
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2022-11-24
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Quentin Paletta
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University of Cambridge
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Cambridge, UK
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Areas of Interest:
Computer vision and remote sensing
Power and energy
Areas of Experience:
Computer vision and remote sensing
Power and energy
|
Seeking:
Academic positions
Employment opportunities
Funding
Internships
Research collaborations
Offering:
Mentorship
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2022-11-22
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Qianqian Zhang
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Tsinghua University
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Beijing,China
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I love computer science and technology and big data technology, trying to be a highly recognized researcher by studying human complex behavior, psychological information, global change impacts, and other massive data.
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Areas of Interest:
Climate and Earth science
Areas of Experience:
Computer vision and remote sensing
Data mining
With my solid professional quality, I will deeply sense the social ecosystem and contribute to social data research. Currently, I am an early career researcher. My research interests include the High-performance Application of Earth Observation(HPAEO). |
Seeking:
Research collaborations
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2022-11-22
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Björn Lütjens
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Massachusetts Institute of Technology
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Cambridge, MA
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I'm a PhD Candidate making local climate information more accessible via machine learning, specifically, developing trustworthy climate emulators.
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Areas of Interest:
Climate and Earth science
Hybrid physical models
Areas of Experience:
Climate and Earth science
Computer vision and remote sensing
Forestry and other land use
Hybrid physical models
Interpretable ML
Time-series analysis
Uncertainty quantification and robustness
Making local climate information more accessible with trustworthy climate emulators. |
Seeking:
Academic positions
Offering:
Mentorship
Research collaborations
Looking for faculty or industry research scientist/postdoctoral position in AI + Climate. |
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2022-11-22
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Dakshal Dhere
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Individual
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Mumbai, India
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I am an aspiring Data Scientist currently pursuing my undergraduate degree. I am interested in climate models and euphoric to use ML to inform these model and improve their accuracy.
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Areas of Interest:
Classification, regression, and supervised learning
Climate and Earth science
Computer vision and remote sensing
Unsupervised and semi-supervised learning
Areas of Experience:
Causal and Bayesian methods
Classification, regression, and supervised learning
Computer vision and remote sensing
Unsupervised and semi-supervised learning
I am interested in exploring ways to contribute to the fight against climate change as a data scientist. |
Seeking:
Data
Internships
Mentorship
I would like to work on AI-ML projects circling climate change. |
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2022-11-22
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Hung-Ju Chen
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Seattle
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Hi, I'm Hung-Ju from Meta Inc. for 4.5 years. Working in ads recommendation for 4 years and scam detection in marketplace for 0.5 years. Would use my expertise to help fighting climate change.
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Areas of Interest:
Climate justice
Computer vision and remote sensing
Natural language processing
Power and energy
Time-series analysis
Areas of Experience:
Classification, regression, and supervised learning
Natural language processing
Recommender systems
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Seeking:
Employment opportunities
Mentorship
Networking
Offering:
Research collaborations
Startup co-founder
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2022-11-03
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Korin Carpenter
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Denver, CO
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I am a data scientist currently working in the financial services field. I have prior experience in geophysical sciences, including geophysics, physical oceanography, and other areas, as well as work within the non-profit sector and the medical field.
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Areas of Interest:
Causal and Bayesian methods
Classification, regression, and supervised learning
Climate and Earth science
Computer vision and remote sensing
Ecosystems and natural resources
Hybrid physical models
Power and energy
Time-series analysis
Areas of Experience:
Classification, regression, and supervised learning
Climate and Earth science
Computer vision and remote sensing
Power and energy
Time-series analysis
|
Seeking:
Data
Employment opportunities
Networking
Offering:
Networking
Paid consulting
Pro-bono consulting
Research collaborations
Interested in getting involved with current climate science research and applying my experience and skills in helping to solve novel problems. Looking to network and connect with active researchers and others working actively in the field. |
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2022-11-03
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Monroe Stephenson
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Reed College
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Portland, OR
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Hey, I'm Monroe and I am looking to transition from mathematics research to machine learning focusing on climate change.
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Areas of Interest:
Active learning
Agriculture
Natural language processing
Transportation
Unsupervised and semi-supervised learning
Currently, I want to explore how math can formalize ideas in ML, and how those ideas can be applied. Applications I am interested in include transportation and agriculture. |
Seeking:
Academic positions
Research collaborations
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2022-10-29
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David Constantin Balongelwa
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AE-Congo
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DR CONGO-Kinshasa
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I am curator of protected areas and coordinator of a non-profit NGO, called Arisans Environnement (AE-Congo) specialized in the defense of environmental law, the protection of the environment in all its forms and sustainable development, we work my teams and I, to improve the living conditions of the population living around or inside the protected areas in DRCONGO.
thank you for joining us in this noble struggle.
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Areas of Interest:
Agriculture
Carbon capture and sequestration
Climate finance
Climate justice
Ecosystems and natural resources
Forestry and other land use
Areas of Experience:
Agriculture
Carbon capture and sequestration
Climate and Earth science
Climate justice
Ecosystems and natural resources
Forestry and other land use
Sustainable Development |
Seeking:
Funding
Lacuna Fund Collaborations
Mentorship
Networking
Offering:
Data
Research collaborations
|
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2022-10-29
|
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Deva Sou
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Independant
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France
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Data Scientist Junior in Deep Learning applied to automatic wildlife recognition, I am driven by the desire to gain more knowledge and skills. I want to use the skills I already have to develop and produce projects to conserve biodiversity.
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Areas of Interest:
Climate and Earth science
Computer vision and remote sensing
Forestry and other land use
Areas of Experience:
Computer vision and remote sensing
I use Deep Learning for automatic wildlife recognition |
Seeking:
Employment opportunities
Networking
Paid consulting
I'm looking forward to talk to you guys. Searching for remote opportunities. |
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2022-10-29
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Martin Van der Linden
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Emory University
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Atlanta, GA
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I am a professor of Data Science at Emory University considering a career change outside of academia. I am eager to put my skills to practical use to tackle sustainability challenges.
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Areas of Interest:
Agriculture
Behavioral and social science
Buildings and cities
Classification, regression, and supervised learning
Computer vision and remote sensing
Power and energy
Time-series analysis
Transportation
Areas of Experience:
Behavioral and social science
Classification, regression, and supervised learning
Time-series analysis
I have been teaching Data Science courses for the last three years at Emory. I am an expert R and Shiny user, and I am familiar with Python. I also have experience in Statistical Analysis and exposure to Machine Learning. Through consulting experiences, I’ve developed experience with front-end web development and interactive online data visualizations, including GIS. I have experience with many Javascript data-visualization packages such as D3, Mapbox, Highchart, and Leaflet. I often use React as the backbone framework for the dashboards I create. |
Seeking:
Employment opportunities
Mentorship
Networking
Paid consulting
Pro-bono consulting
|
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2022-10-29
|
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Aaron Wienkers
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University of Cambridge
|
Zurich, Switzerland
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> > {Computational Flow Physicist ⊗ Geophysical Scientist && HPC Developer ∩ Mathematician}
++ Modelling & understanding the ocean submesoscales/turbulence — where global models fail...
++ Developing high-performance numerical simulations to help climate models "see" unresolved scales
☞ Seeking a challenging opportunity to leverage extensive experience in numerical/computational modelling of the ocean-atmosphere system to help mitigate climate change impacts.
|
Areas of Interest:
Climate and Earth science
Generative modeling
Hybrid physical models
Time-series analysis
Areas of Experience:
Climate and Earth science
Hybrid physical models
|
Seeking:
Employment opportunities
Offering:
Data
Mentorship
|
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2022-09-30
|
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Ganesh
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Princeton University
|
Princeton
|
|
Areas of Interest:
Climate justice
Policy
Power and energy
Areas of Experience:
Climate justice
Policy
Power and energy
|
Seeking:
Data
Employment opportunities
Funding
Research collaborations
Offering:
Networking
Paid consulting
Research collaborations
|
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2022-09-30
|
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Cyril Verluise
|
College de France & QuantumBlack
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Paris, France
|
Hello,
I am an economist (PhD) and a data scientist. I am interested into real world ML applications to industry decarbonization.
Looking forward to connect with you all!
|
Areas of Interest:
Industry
Natural language processing
Power and energy
Reinforcement learning and control
Areas of Experience:
Power and energy
|
Seeking:
Mentorship
Networking
Research collaborations
Offering:
Networking
Hey there, I'm mainly there to learn about you and connect to stimulate my creativity and deepen my understanding of the field. Feel free to reach out to me. Cheers! |
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2022-09-27
|
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Ahmad Mohassel
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American Institutes for Research
|
Washington, D.C.
|
I am a senior data scientist and economist at American Institutes for Research. My interests are in the Societal Impact of Climate Change, and food insecurity, and enthusiastic about employing remote sensing data in my work.
|
Areas of Interest:
Agriculture
Causal and Bayesian methods
Classification, regression, and supervised learning
Hybrid physical models
Policy
Societal adaptation
Areas of Experience:
Behavioral and social science
Causal and Bayesian methods
Societal adaptation
Transportation
|
Seeking:
Data
Research collaborations
Offering:
Research collaborations
|
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2022-09-27
|
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Nantas Nardelli
|
Carbon Re
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London, UK
|
|
Areas of Interest:
Industry
Reinforcement learning and control
Areas of Experience:
Industry
Reinforcement learning and control
|
Offering:
Employment opportunities
Internships
Mentorship
Pro-bono consulting
Research collaborations
|
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2022-09-27
|
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Irfan Alghani Khalid
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Pekanbaru, Indonesia
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I studied at agricultural-oriented university in Indonesia with a major in computer science, so I've got insights on how my knowledge could help on environmental issues.
Also, I lived on a place where wildfires occur annually, so the calling for working on AI x Climate Change projects is huge for me.
|
Areas of Interest:
Climate and Earth science
Computer vision and remote sensing
Disaster prediction, management, and relief
Forestry and other land use
Areas of Experience:
Classification, regression, and supervised learning
Data mining
|
Seeking:
Academic positions
Employment opportunities
Internships
Mentorship
Networking
|
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2022-09-21
|
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Gang Huang
|
Zhejiang Lab
|
I am a Senior Researcher 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, computer science, and operations research. A common thread in my research is designing reliable and computationally efficient algorithms for mission-critical tasks. Currently, I am working on developing scientific artificial intelligence methods to leverage the power of data and knowledge, with applications in energy and transportation systems.
|
Areas of Interest:
Classification, regression, and supervised learning
Data mining
Policy
Power and energy
Reinforcement learning and control
Time-series analysis
Transportation
Areas of Experience:
Classification, regression, and supervised learning
Power and energy
Time-series analysis
Transportation
|
Seeking:
Data
Research collaborations
Offering:
Employment opportunities
Research collaborations
|
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2022-09-12
|
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Jack Armitage
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Intelligent Instruments Lab
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Reykjavik, Iceland
|
I am a postdoc at the Intelligent Instruments Lab, Iceland, where I design physical musical instruments, and embodied scientific instruments, using ML/AI. Previously I was Design Lead at Open Energy Labs in Zambia, designing a mobile learning platform teaching young people across sub-Saharan Africa how to design renewable energy systems. I have a doctorate in Media and Arts Technologies from Queen Mary University of London, where I studied in Prof. Andrew McPherson's Augmented Instruments Lab. My research interests include embodied interaction, craft practice and design cognition.
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Areas of Interest:
Agriculture
Climate and Earth science
Climate justice
Disaster prediction, management, and relief
Power and energy
Areas of Experience:
Human-computer Interaction
Interpretable ML
I want to design embodied scientific instruments for climate scientists to explore and build intuition for their data. |
Seeking:
Academic positions
Employment opportunities
Funding
Mentorship
Networking
Paid consulting
Research collaborations
Offering:
Mentorship
Networking
Research collaborations
I can offer mentorship in startups, product design, interaction design, graphic design, sound and video production and much else. |
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2022-09-12
|
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George Sideratos
|
National Technical University of Athens
|
Athens
|
George Sideratos was born in Chios, Greece in 1976. He received Electrical and Computer Engineering degree from the National Technical University of Athens (NTUA), Athens, in 2002, the Ph.D. degree in electrical engineering from NTUA, in 2010 on wind power forecasting. He is currently a senior researcher in the Power System laboratory of NTUA. His research interests include wind power and load forecasting and artificial intelligence techniques.
|
Areas of Interest:
Classification, regression, and supervised learning
Power and energy
Time-series analysis
Uncertainty quantification and robustness
Areas of Experience:
Power and energy
Machine learning/ AI /Deep learning Timeseries analysis/modelling MLops AWS cloud service |
Seeking:
Networking
Research collaborations
Offering:
Mentorship
Paid consulting
|
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2022-09-12
|
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Ankit Kumar Upadhyay
|
JSS Academy of Technical Education
|
Bengaluru, India
|
I am Ankit Upadhyay from India and I am currently starting my fourth year of Undergraduate in Computer Science and Engineering. I am passionate about STEM education, Machine Learning, Deep Learning, Climate Science and overall education in general too! I would love to talk about any of the aforementioned topics.
|
Areas of Interest:
Climate and Earth science
Natural language processing
Unsupervised and semi-supervised learning
Areas of Experience:
Climate and Earth science
Computer vision and remote sensing
Unsupervised and semi-supervised learning
|
Seeking:
Internships
Mentorship
Research collaborations
|
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2022-09-12
|
|
Rebecca Willett
|
University of Chicago
|
Chicago, IL
|
|
Areas of Interest:
Hybrid physical models
Areas of Experience:
Computer vision and remote sensing
|
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2022-09-12
|
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Sayak Mukherjee
|
Pacific Northwest National Laboratory
|
US
|
I am a staff scientist at PNNL working in the areas of control/RL, energy systems and ML.
|
Areas of Interest:
Power and energy
Reinforcement learning and control
Areas of Experience:
Power and energy
Reinforcement learning and control
|
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2022-07-25
|
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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
|
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2022-07-24
|
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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
|
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2022-07-20
|
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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
|
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2022-07-20
|
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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.
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2022-07-20
|
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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
|
|
2022-05-11
|
|
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
|
|
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
|
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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:
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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. |
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2021-11-29
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Luiza Barguil
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XPrize Foundation
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SP
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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
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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
|
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2021-11-22
|
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Yan Xia
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Zhejiang Univerisity
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|
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2021-11-22
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Christian Igel
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University of Copenhagen
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Denmark
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Professor at DIKU, the Department of Computer Science at the University of Copenhagen.
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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
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2021-11-19
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Jean Paul Maalouf
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Freelance
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Bordeaux, France
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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
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2021-11-17
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Elizabeth Bondi
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Harvard University
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Cambridge, MA, USA
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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.
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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
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2021-11-17
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Oliver Zielinski
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German Research Center for Artificial Intelligence (DFKI)
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Germany
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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.
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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
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2021-11-11
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Mark Codling
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The University of the West Indies - St. Augustine
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Country other than US or CA
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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.
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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
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2021-11-11
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Siman Ning
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Washington
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I am a phd student in urban design and planning. I am interested in how AI and climate change could reshape future urban development.
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Areas of Interest:
Behavioral and social science
Climate finance
Areas of Experience:
Buildings and cities
|
Seeking:
Mentorship
Offering:
Pro-bono consulting
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2021-11-09
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Jianwu Wang
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University of Maryland, Baltimore County
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Baltimore, Maryland, United States
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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.
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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
|
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2021-11-08
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Vincent Mai
|
Mila - Université de Montréal
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Montreal
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|
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
|
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2021-11-08
|
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Shankar Vaidhyanathan
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Environmental Resources Management/ Colorado School of Mines
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Austin
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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
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2021-11-08
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Luc Wuytens
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Belgium, Leuven
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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.
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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
|
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2021-11-08
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Art Prateepvanich
|
Paraclimate
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Oakland, CA
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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.
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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
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2021-11-03
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Luis Bernardo Chicaiza
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Bogotá, Colombia
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|
|
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2021-11-03
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Jairo Torregrosa
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Colombia
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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
|
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2021-11-02
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Maria João Sousa
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IST, ULisboa
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Lisbon, Portugal
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|
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
|
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2021-10-28
|
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Victor Raul Stanilao Reyna Garcia
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Universidad Catolica San Pablo
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Lima
|
|
Areas of Interest:
Data mining
Areas of Experience:
Computer vision and remote sensing
Data mining
|
Seeking:
Internships
Mentorship
Offering:
Networking
Research collaborations
|
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2021-10-25
|
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Mehdi Noori
|
Amazon ML Solutions Lab (Lead of Energy Vertical, Manager, and Senior Data Scientist)
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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
|
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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 |
|
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2021-10-19
|
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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
|
|
2021-09-23
|
|
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
|
|
2021-09-21
|
|
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
|
|
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
|
|
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
|
||
2021-08-01
|
|
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
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Simone Nsutezo Fobi
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Columbia University
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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.
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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
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Seeking:
Networking
Research collaborations
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2021-07-26
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Tegan Maharaj
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University of Toronto
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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.
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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
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Seeking:
Networking
Research collaborations
Offering:
Academic positions
Mentorship
Paid consulting
Pro-bono consulting
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2021-07-26
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Jan Drgona
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Pacific Northwest National Laboratory
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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.
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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
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Seeking:
Networking
Research collaborations
Offering:
Employment opportunities
Mentorship
Research collaborations
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2021-07-26
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Rendani Mbuvha
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University of Witwatersrand
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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.
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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
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Seeking:
Funding
Research collaborations
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2021-07-26
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Sebastian Gerard
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KTH Stockholm
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PhD student working on self-supervised learning for satellite images. Planning to work on wildfire predictions.
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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
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Seeking:
Networking
Research collaborations
Offering:
Networking
Research collaborations
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2021-07-25
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Nishan Srishankar
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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).
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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
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Seeking:
Academic positions
Employment opportunities
Networking
Research collaborations
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2021-07-25
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Vivek Ramavajjala
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DeepMind
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I'm a Research Engineering Lead at DeepMind, working on applied research projects, and deploying ML in the real world.
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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
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Seeking:
Mentorship
Networking
Research collaborations
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2021-07-24
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Thomas Soumarmon
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Continental / DEEL.ai
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Data Scientist willing to use my skills to tackle climate change.
Currently on sabbatical year to find the best way to do it.
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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
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2021-07-24
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Ramit Debnath
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University of Cambridge
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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.
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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
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