I am a Ph. D. student major in applied mathematics and statistics at Stanford, advised by Andrea Montanari. Before coming to California, I studied Mathematics at Peking University. My research is partly supported by Stanford Graduate Fellowship.
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.
Currently, I am interested in theory of deep learning, high dimensional geometry, approximate Bayesian inferences, and applied random matrix theory.
Here is my Google Scholar page, my Research Blog, and CV.