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Nima Anari is an Assistant Professor in the Department of Computer Science at Stanford University. He obtained his Ph.D. in Computer Science from the University of California, Berkeley in 2015. His academic background also includes dual bachelor's degrees in Computer Engineering and Pure Mathematics from Sharif University of Technology, both earned in 2010. His research interests primarily focus on algorithm design, and more specifically, on topics related to randomized algorithms and their applications in machine learning. Anari has contributed significantly to the understanding of combinatorial optimization problems, showcasing how randomized techniques can lead to improved solutions. Beyond his academic pursuits, he maintains a personal website where he shares details about his research projects and publications, further expanding the accessibility of his work to the academic community and the public.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.