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Lev Reyzin

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Lev Reyzin is a Professor of Mathematics, Statistics, and Computer Science and Site 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 bachelor’s 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.

Research Interests:

computational and statistical learning, network and data science, and optimization
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