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Haotian Jiang is an Assistant Professor in the Department of Computer Science at the University of Chicago. He obtained his PhD in Computer Science from the Paul G. Allen School at the University of Washington under the guidance of Yin Tat Lee. His research predominantly focuses on the mathematical foundations of computation and algorithm design, with significant contributions to the analysis of algorithms related to continuous and discrete optimization problems. His expertise lies in the design and analysis of algorithms through the lens of discrepancy theory. Jiang's notable work in optimization has garnered recognition, including the Student Paper Award at SODA 2021. He has previously worked as a Postdoctoral Researcher at Microsoft Research in Redmond, where he applied his theoretical insights to practical problems in computer science, particularly in areas intersecting applied mathematics and algorithm design.
Department of Philosophy