David Rolnick

Core Academic Member
David Rolnick
Assistant Professor, McGill University
David Rolnick

I am an Assistant Professor in the School of Computer Science at McGill University and a Core Academic Member at Mila. I also serve as co-founder and chair of Climate Change AI. My research foci are:

  • Deep learning theory: Mathematical understanding of the properties of neural networks.
  • Machine learning and climate change: Applications of machine learning to mitigate and adapt to the climate crisis.

Previously, I was an NSF Mathematical Sciences Postdoctoral Research Fellow at the University of Pennsylvania, working with Konrad Körding. I received my PhD in Applied Math from MIT in 2018, co-advised by Nir Shavit, Max Tegmark, and Ed Boyden. Before that, I was a Fulbright Scholar at the Freie Universität Berlin and an undergraduate at MIT.

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