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.
- Research Interests: Machine Learning Theory, Climate Change, AI For Good
- Personal Website: https://davidrolnick.com/