I am a postdoctoral associate at the Institute for Foundations of Data Science at Yale University, hosted by Dan Spielman. My main research interests include MCMC algorithms for high-dimensional sampling, and convex and combinatorial optimization. Before that, I obtained my Ph.D. from the Algorithms, Combinatorics, and Optimization program at Georgia Tech, advised by Santosh Vempala.

Activities

• I gave a talk about high-dimensional sampling at the Northwestern 2021 Junior Theorists Workshop
• I gave a talk on Algorithms for Sampling Convex Bodies about the convergence of Gibbs Sampling/CHAR and Weighted Dikin Walk at the Sampling Algorithms and Geometries on Probability Distributions Workshop at the Simons Institute