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Nima Anari is an Assistant Professor in the Department of Computer Science at Stanford University, specializing in theoretical computer science with broad interests in algorithms, probability, and combinatorics. His current research focuses on sampling algorithms, Markov chains, parallel algorithms, high-dimensional expanders, and geometric polynomials. Anari received his Ph.D. in Computer Science from the University of California, Berkeley. He also holds a Bachelor of Science in Computer Engineering and Mathematics from Sharif University. His work has been recognized in the field, and he is an active member of the Theory Group at Stanford, contributing to various projects and publications within the domain.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.