I am an Assistant Professor and Canada CIFAR AI Chair in the School of Computer Science at McGill University and at Mila – Quebec AI Institute. I serve as Co-founder and Chair of Climate Change AI, a global non-profit focused on catalyzing impactful work at the intersection of machine learning and climate change. I am also a Scientific Co-director of Sustainability in the Digital Age. My research foci are:

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

I was recently named to the MIT Technology Review “35 Innovators Under 35” list for work in machine learning and climate change. 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 in Mathematics and Music at MIT.