- 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.
I am recruiting both graduate students and postdocs — please reach out if you are interested. I am also happy to hear from students in general, even those who are not looking for a position.
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.