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Mark Braverman is a professor at Princeton University specializing in several areas of computer science. His research interests include complexity theory, information theory, theory of real computation, machine learning, algorithms, and algorithmic mechanism design. He has been active in his field, serving on various program committees, including as the program committee chair for ITCS'22. His work explores the intricacies of algorithm design and applications, emphasizing optimization-friendly mechanisms and communication information complexity. He has taught courses such as Economics of Computation and Advanced Algorithm Design, impacting students' understanding of the computational aspects of economics and intricate algorithm design.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.