Lev Reyzin

Professor of Mathematics, Statistics, and Computer Science | Site Director at the IDEAL Data Science Institute

Lev Reyzin is a Professor of Mathematics, Statistics, and Computer Science and the Site Director of the Institute for Data, Econometrics, Algorithms, and Learning at the University of Illinois at Chicago. Prior to coming to UIC, Lev was a Simons Postdoctoral Fellow at Georgia Tech, and before that, an NSF CI-Fellow at Yahoo! Research. Lev received his Ph.D. on an NSF graduate research fellowship from Yale under Dana Angluin and his undergraduate degree from Princeton. He currently serves as the Chair of the Steering Committee for the International Conference on Algorithmic Learning Theory, as an Associate Editor of Ann. Math. Artif. Intell., and as an Editorial Board Reviewer for J. Mach. Learn. Res. Recently, he was Program Chair for ALT 2017 and ISAIM 2020. His work has earned awards at ICML, COLT, and AISTATS and has been funded by the NSF and DOD.

Theoretical Computer Science & Mathematical Computer Science at UIC

Supported by: NSF ECCS-2217023 (PI), ’22-’27; NSF/Brown CCF-2307106 (SU PI), ’23-’24; DOD ERTC (KP), ’20-’24; NSF CCF-1934915 (PI), ’19-’24; NSF CCF-1848966 (PI), ’18-’21; NSF IIS-1526379 (Co-PI) ’15-’18; ARO 66497-NS (PI), ’15-’16.