I am an Assistant Professor in the Department of Statistics
at UC Berkeley.
In Spring 2021, I am teaching "Mean Field Asymptotics in Statistical Learning
". In June 2020, I received my Ph. D. from Stanford, where I was advised by Andrea Montanari
My research is motivated by data science
, and lies at the intersection of statistics
, machine learning
, information theory
, and computer science
. I often build on insights that originated within the statistical physics
literature. My current research interests include high dimensional probability, theory of deep learning, and theory of reinforcement learning.
Here is my Google Scholar page and my Research Blog.