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Associate Professor, Department of Computer Science, Faculty of Arts and Sciences, University of Toronto
Sushant Sachdeva is a faculty member at the University of Toronto Department of Computer Science. He is broadly interested in algorithms, optimization, and theoretical machine learning.
Before joining University of Toronto, he was a research scientist at Google. He completed his postdoc at Yale with Dan Spielman (2016), his PhD from Princeton (2013) under Sanjeev Arora, and his BTech from IIT Bombay (2008)
Research Interests
Optimization
Machine Learning
Highlights
Sloan Fellowship (2023),
Frontiers of Science award (2023),
IEEE FOCS Best Paper Award (2022),
Google Faculty Research Award (2017),
Simons Berkeley Research Fellowship (2013)
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