Zongchen Chen
Postdoctoral Researcher, Massachusetts Institute of Technology
Zongchen Chen is an instructor (postdoc) in Mathematics at the Massachusetts Institute of Technology. He obtained his Ph.D. in Algorithms, Combinatorics and Optimization at the Georgia Institute of Technology in 2021, advised by Eric Vigoda. Before that, he received his B.S. in Mathematics and Applied Mathematics from the Zhiyuan College at the Shanghai Jiao Tong University in 2016. He has broad interests in randomized algorithms, discrete probability, and combinatorics. Currently, his research focuses on Markov chain Monte Carlo (MCMC) methods for sampling from Gibbs distributions, and machine learning problems related to undirected graphical models.