Prof. Ankur Moitra

Ankur Moitra is interested in algorithms and their connections with the related areas of machine learning, statistics, operations research, and mathematics. His research spans a diverse set of topics, from statistical inference to optimization and approximation to codes and combinatorics. He has made important contributions in graph algorithms and learning theory, for example developing an efficient algorithm for estimating the defining parameters of a distribution that is a mixture of any constant number of Gaussian distributions.