David Rolnick

Assistant Professor, McGill University, Core Academic Member (Mila), Canada CIFAR AI Chair

David Rolnick is an Assistant Professor in the School of Computer Science at McGill University and a Core Academic Member at Mila. He is co-founder and chair of Climate Change AI. His research focuses are deep learning theory and applications of machine learning to mitigate and adapt to the climate crisis. Previously, he was an NSF Mathematical Sciences Postdoctoral Research Fellow at the University of Pennsylvania, working with Konrad Körding. He received my PhD in Applied Math from MIT in 2018, co-advised by Nir Shavit, Max Tegmark, and Ed Boyden. Before that, he was a Fulbright Scholar at the Freie Universität Berlin and an undergraduate at MIT.


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