Lin Chen is a postdoctoral scholar at the Simons Institute for the Theory of Computing, University of California, Berkeley . His research interests focus on machine learning theory.
He was PhD student in the Department of Electrical Engineering.
His research focuses on theoretical machine learning, including online optimization, submodular optimization, and adversarial robustness.
PhD Computer Science
Yale University, New Haven, 2017-2020
Advisor: Professor Amin Karbasi
Thesis: Online Optimization: Convex and Submodular Functions
MPhil/MS Computer Science
Yale University, New Haven 2014-2017.
BS in Computer Science
Peking University, Beijing, Rank 2010-2014.