Associate Professor, Paul G. Allen School of Computer Science & Engineering

Research focus
Learning theory, quantum information theory, foundations of AI

Education
Ph.D. Electrical Engineering & Computer Science, Massachusetts Institute of Technology, 2018
S.M. Electrical Engineering & Computer Science, Massachusetts Institute of Technology, 2014
B.S. Computer Science & Engineering, Mathematics, University of Washington, 2013

Jerry Li joins the Paul G. Allen School of Computer Science & Engineering from Microsoft where he was a principal researcher in the PhysAGI (formerly Machine Learning Foundations) Group. Prior to joining Microsoft, Li was the VMware Research Fellow at the Simons Institute.

Li’s research focuses on quantum information theory, the science of large foundation models, and high-dimensional statistics. His work explores methods to create robust algorithms that allow machine learning to defend against data poisoning and filter out statistical noise to accurately perform statistical and practical tasks. Li’s research has been recognized at NeurIPS, ICML, and ICLR.