Song Mei 梅松
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. I often builds on insights that originated within the statistical physics literature. My research interests include language models and diffusion models, theory of deep learning, theory of reinforcement learning, high dimensional statistics, quantum algorithms, and uncertainty quantification.
My research is motivated by data science and AI, and lies at the intersection of statistics, machine learning, information theory, and computer science. I often builds on insights that originated within the statistical physics literature. My research interests include language models and diffusion models, theory of deep learning, theory of reinforcement learning, high dimensional statistics, quantum algorithms, and uncertainty quantification.
Here is my Google Scholar, Twitter, and my CV.
Email: songmei@berkeley.edu
Office: Evans 387.