Yin Tat Lee is a Principal Researcher in Machine Learning Foundations group at MSR and an Associate Professor of Paul G. Allen School of Computer Science & Engineering at the University of Washington. His research interests are convex optimization, convex geometry, graph algorithms, online algorithms, and differential privacy. During his career, he has received a variety of awards, including Best Paper Awards at FOCS, SODA and NeurIPS, Sprowls Award, NSF CAREER Award, A.W. Tucker Prize, Microsoft Research Faculty Fellowship, Sloan Research Fellowship, and Packard Fellowships.
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