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Ep. 3: Sam Hopkins
Welcome to Probably Approximately Correct Learners Episode 3! In this episode, Chara chats with Professor Sam Hopkins.
Sam is a theoretical computer scientist and Assistant Professor at MIT, in the Theory of Computing group in the Department of Electrical Engineering and Computer Science, where he holds the Jamieson Career Development Chair. His interests include algorithms, theory of machine learning, semidefinite programming, sum of squares method, and bicycles.
Before MIT, he was a Miller fellow in the theory of computing group at UC Berkeley, hosted by Prasad Raghavendra and Luca Trevisan. Before that, he got his PhD at Cornell, advised by David Steurer.
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By Chara PodimataWelcome to Probably Approximately Correct Learners Episode 3! In this episode, Chara chats with Professor Sam Hopkins.
Sam is a theoretical computer scientist and Assistant Professor at MIT, in the Theory of Computing group in the Department of Electrical Engineering and Computer Science, where he holds the Jamieson Career Development Chair. His interests include algorithms, theory of machine learning, semidefinite programming, sum of squares method, and bicycles.
Before MIT, he was a Miller fellow in the theory of computing group at UC Berkeley, hosted by Prasad Raghavendra and Luca Trevisan. Before that, he got his PhD at Cornell, advised by David Steurer.