Lev Reyzin
Professor of Mathematics, Statistics, and Computer Science | Institute Director of IDEAL Data Science Institute
βLev Reyzin is a Professor of Mathematics, Statistics, and Computer Science and the Director of the IDEAL Institute at the University of Illinois at Chicago. He works on the theory of machine learning, data science, and artificial intelligence. Prior to UIC, Reyzin was a Simons Postdoctoral Fellow at Georgia Tech and an NSF CI-Fellow at Yahoo! Research. Reyzin received his Ph.D. on an NSF doctoral fellowship from Yale under Dana Angluin and his bachelorβs degree from Princeton. He serves as the Steering Committee Chair for the ALT conference, as an Editorial Board Member of Ann. Math. Artif. Intell., as an Editorial Board Reviewer for J. Mach. Learn. Res., and as General Co-Chair for FOCS 2024. Previously, he was Program Co-Chair for ALT 2017 and Program Chair for ISAIM 2020. His work has earned awards at ICML, COLT, and AISTATS and has been funded by the NSF and DOD. β
Theoretical Computer Science & Mathematical Computer Science at UIC
Supported by:
NSF ECCS-2217023 (PI), β22-β27;
NSF/Brown CCF-2307106 (SU PI), β23-β24;
DOD ERTC (KP), β20-β24;
NSF CCF-1934915 (PI), β19-β24;
NSF CCF-1848966 (PI), β18-β21;
NSF IIS-1526379 (Co-PI) β15-β18;
ARO 66497-NS (PI), β15-β16.