I am an instructor (postdoc) in Mathematics at MIT. I am also involved with the Collaboration on the Theoretical Foundations of Deep Learning. Before that, I received my PhD degree in Algorithms, Combinatorics and Optimization (ACO) from the School of Computer Science at Georgia Tech in 2021. I was very fortunate to be advised by Eric Vigoda. I received my BS degree in Mathematics & Applied Mathematics from Zhiyuan Honor College at Shanghai Jiao Tong University in 2016.
I have broad interests in randomized algorithms, discrete probability, and machine learning. Currently, my research focuses on Markov chain Monte Carlo (MCMC) methods for sampling from Gibbs distributions, and machine learning problems related to undirected graphical models.