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Sushant Sachdeva is an Associate Professor at the University of Toronto Mississauga and a faculty member at the Vector Institute. He has a rich background in algorithms, optimization, and machine learning, particularly focusing on designing fast algorithms for graph problems. His work combines techniques from convex optimization and numerical linear algebra, and he has a significant interest in Mathematical Machine Learning, including optimization in machine learning contexts and representation learning. Sachdeva has contributed substantially to his field, including serving as a Program Committee member for several prestigious conferences and as an Associate Editor for notable journals. He has a Ph.D. in Computer Science from Princeton University and has held various influential positions, including Research Scientist at Google and Postdoctoral Associate at Yale University, where he was hosted by Daniel Spielman. He has advised numerous graduate students and actively seeks MSc and PhD students with strong backgrounds in computer science and mathematics to join his research endeavors.
Department of Sociology