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 interest lies broadly in data sciences, say, in the intersection of applied probability, statistics, machine learning, information theory, and computations. A plenty amount of my research intuitions come from statistical physics literature.
Currently, I am interested in non-convex geometry in high dimensional statistics, theory of deep learning, approximate Bayesian inferences, and applied random matrix theory.
My research is partly supported by Stanford Graduate Fellowship. Here is my CV.