David Rolnick
David Rolnick is an AI researcher whose work applies machine learning to climate change. He earned a PhD in applied mathematics at MIT in 2018 and joined McGill as an assistant professor and Mila as a core academic member in 2020. At Penn, he chaired Climate Change AI and coauthored the 2019 report “Tackling Climate Change with Machine Learning.” He coauthored ICML’s 2024 Best Paper “Stealing part of a production language model” and received an AI2050 Early Career Fellowship in 2024 and a Sloan Research Fellowship in 2025. As of October 2026, he is an associate professor and Canada CIFAR AI Chair at McGill and Mila.
- Now at
- McGill University, Mila and Climate Change AI
- Badges
Timeline
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2018
An MIT applied mathematics PhD
At MIT, he completes a PhD in applied mathematics in 2018, co-advised by Nir Shavit, Max Tegmark, and Ed Boyden.
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2019
Climate Change AI and its report
Climate Change AI is founded in June 2019. By November 2019, he is a postdoctoral fellow at the University of Pennsylvania and chairs the initiative. He coauthors “Tackling Climate Change with Machine Learning,” a paper on machine-learning applications from smart grids to disaster management.
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2020–2021
McGill and a CIFAR AI Chair
In 2020, he joins McGill's School of Computer Science as an assistant professor and becomes a core academic member at Mila. In 2021, he becomes a Canada CIFAR AI Chair. MIT Technology Review names him to its 2021 Innovators Under 35 list.
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2024
An AI2050 Early Career Fellowship
He is named a 2024 AI2050 Early Career Fellow. His project develops AI-based superresolution tools for high-resolution climate and weather data from low-resolution inputs.
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2024
An ICML Best Paper
He coauthors “Stealing part of a production language model,” which wins ICML's 2024 Best Paper award. The work recovers a transformer's embedding projection from typical API access and extracts OpenAI's Ada and Babbage projection matrices for under US$20.
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2025
An Alfred P. Sloan Fellowship
In 2025, he receives an Alfred P. Sloan Fellowship.
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As of October 2026
Professor at McGill and Mila
As of October 2026, he is an associate professor and Canada CIFAR AI Chair in McGill's School of Computer Science and at Mila.
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As of October 2026
Climate AI leadership
As of October 2026, he is a co-founder and chair of Climate Change AI, co-leads the NSF-NSERC Global Center on AI and Biodiversity Change, and is Scientific Co-director of Sustainability in the Digital Age.
Career
- Since 2020McGill UniversityAssistant Professor
- Since 2020MilaCore Academic Member
- Since 2019Climate Change AICo-founder, Chair
- From 2019University of PennsylvaniaPostdoctoral Fellow
Education
Sources and credits
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- Three Faculty Members Join the School of Computer Science
- About Climate Change AI
- Scientists join forces to tackle climate change with AI
- Tackling Climate Change with Machine Learning
- Four McGill researchers awarded prestigious AI chairs
- Assistant Professor David Rolnick Named a 2021 MIT Technology Review Innovator Under 35
- MIT affiliates named 2024 Schmidt Futures AI2050 Fellows
- David Rolnick - AI2050
- ICML 2024 Awards
- Stealing part of a production language model
- Prof. David Rolnick awarded Alfred P. Sloan Fellowship
- Bio – David Rolnick



