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Sushil Varma is an Assistant Professor in the Department of Industrial Operations Engineering at the University of Michigan, Ann Arbor. He graduated with a PhD from the Georgia Institute of Technology in 2024, where his thesis received recognition from several professional societies including INFORMS TSL Society and ACM SIGMETRICS Society. Throughout his academic career, Sushil has focused on applied probability, with current research in dynamic pricing, dynamic matching, and matching markets, particularly in applications such as online marketplaces and electric vehicles. His work also includes analyzing convex-relaxation-based algorithms for graph alignment. Sushil has been actively involved in professional organizations and has contributed to the field through various publications and projects.
Department of Electrical Engineering and Computer Science