Note: Due to increased caregiving responsibilities resulting from the ongoing pandemic, at this time I am unable to supervise undergraduate research/thesis projects.
High-dimensional probability: random matrices, random graphs, large deviations, concentration and anti-concentration of measure.
Related topics in combinatorics, high-dimensional geometry, free probability, mathematical physics, numerical analysis and statistics.
Spring 2021: Math 621, Graduate probability
Background:Previously I was a Stein Fellow in the statistics department at Stanford University, and an NSF postdoc in the math departments at Stanford and UCLA, sponsored by Amir Dembo and Jun Yin. In 2016 I received my PhD from UCLA under the advice of Terence Tao.