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Ankur Moitra is a theoretical computer scientist and Norbert Wiener Professor of Mathematics at the Massachusetts Institute of Technology (MIT). He serves as the Director and Principal Investigator of the Computer Science Artificial Intelligence Laboratory. His primary research goal is to give algorithms provable guarantees in machine learning problems. Moitra is a David Lucile Packard Foundation Fellow and has also received fellowships from the Alfred P. Sloan Foundation. He is a member of the Theory Computation group and contributes to various collaborative efforts such as Machine Learning@MIT as well as Foundations of Data Science. Moitra has organized numerous seminars and workshops on topics including Robusness and Nonconvexity in Machine Learning and Computation in Topic Models. As a co-editor, he has served for prestigious journals like ACM Transactions on Algorithms. His research has been supported through various grants including the David Lucile Packard Fellowship and the NSF CAREER Award.