I am an Assistant Professor in the Department of Statistics and the Department of Electrical Engineering and Computer Sciences at UC Berkeley. 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 AI, and lies at the intersection of statistics, machine learning, information theory, and computer science. My research interests include theory of deep learning, theory of reinforcement learning, and high dimensional probability. My recent work focuses on the theoretical foundations for foundation models.

Here is my Google Scholar page.
Email: songmei@berkeley.edu
Office: Evans 387.

Recent works

Foundation Models, transformers, and diffusion models

Deep learning theory

Reinforcement learning theory

High dimensional statistics

Uncertainty quantification