Ankur MoitraView profile
Professor
Ankur Moitra is the Norbert Wiener Professor at the Massachusetts Institute of Technology (MIT), affiliated with the Department of Electrical Engineering and Computer Science and the Theory of Computation research group. His work focuses on foundational aspects of algorithms, machine learning, and theoretical computer science, with applications to cryptography, quantum computing, and statistical learning. He leads research initiatives in algorithmic robustness, tensor decomposition methods, and reinforcement learning. Moitra’s research spans algorithm design, computational complexity, and probabilistic models. Notable contributions include robust learning algorithms for mixtures of distributions, tensor decomposition techniques, and theoretical analyses of reinforcement learning and adversarial machine learning. His work bridges mathematical theory with practical computational challenges, often addressing algorithmic guarantees under noise or adversarial conditions. His recent publications highlight advancements in areas such as cryptographic watermarking, quantum Hamiltonian learning, and efficient sampling from complex distributions. Despite no explicitly listed awards, his contributions have influenced major areas of theoretical computer science. His research group collaborates across MIT’s School of Science and the Computer Science and Artificial Intelligence Laboratory (CSAIL).
