Ankur Moitra

Ankur Moitra is the Norbert Wiener Professor of Mathematics at the Massachusetts Institute of Technology, where he is also Director of the MIT Statistics and Data Science Center. His research spans theoretical computer science, machine learning, and algorithmic problems with applications in big data. Moitra received his B.S. in electrical and computer engineering from Cornell in 2007 and completed his M.S. and Ph.D. degrees in computer science at MIT in 2009 and 2011, respectively. He was promoted to Associate Professor in 2017 and received tenure in 2019. His work includes statistical inference, optimization, and combinatorics, with a focus on robustness and algorithmic theory.

Ankur Moitra is the Norbert Wiener Professor of Mathematics at MIT, specializing in Theory and Machine Learning. His research focuses on developing efficient algorithms for high-dimensional data analysis, robust statistical estimation, and learning models with theoretical guarantees. Moitra's work includes advancements in topic modeling, nonnegative matrix factorization, and tensor decomposition, often addressing computational challenges in high-dimensional settings. He has also contributed to understanding the limits of learning mixtures of Gaussians and improving methods for sparse coding and dictionary learning. His research emphasizes both theoretical foundations and practical applicability, with a focus on overcoming computational intractability in machine learning tasks.