I recently graduated from my Ph.D. program in Algorithms, Combinatorics, and Optimization at Georgia Tech, advised by Jake Abernethy. I received my B.S. at Yale and my M.S.E. at Princeton.
My work is in theoretical machine learning, with a focus on optimization and convergence of game dynamics. I have also worked in a number of related areas, such as differential privacy, robust estimation, regression, and online learning. I interned at Google Research in NYC in the summer of 2018.
CV • Publications • Google Scholar • Github
Email: kevinlai {{at}} gatech {{dot}} edu