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.
Email: songmei@berkeley.edu