David Rolnick
Core Academic Member
Canada CIFAR AI Chair
Assistant Professor, McGill University, School of Computer Science
Adjunct Professor, Université de Montréal, Department of Computer Science and Operations Research
Research Topics
AI and Sustainability
AI for Science
Applied Machine Learning
Biodiversity
Building Energy Management Systems
Climate
Climate Change
Climate Change AI
Climate Modeling
Climate Science
Climate Variable Downscaling
Computer Vision
Conservation Technology
Energy Systems
Forest Monitoring
Machine Learning and Climate Change
Machine Learning for Physical Sciences
Machine Learning in Climate Modeling
Machine Learning Theory
Out-of-Distribution (OOD) Detection
Remote Sensing
Satellite Remote Sensing
Time Series Forecasting
Vegetation
Biography
David Rolnick is an assistant professor at McGill University’s School of Computer Science, a core academic member of Mila – Quebec Artificial Intelligence Institute and holds a Canada CIFAR AI Chair. Rolnick’s work focuses on applications of machine learning to help address climate change. He is the co-founder and chair of Climate Change AI, and scientific co-director of Sustainability in the Digital Age. After completing his PhD in applied mathematics at the Massachusetts Institute of Technology (MIT), he was a NSF Mathematical Sciences Postdoctoral Research Fellow, an NSF Graduate Research Fellow and a Fulbright Scholar. He was named to MIT Technology Review’s “35 Innovators Under 35” in 2021.