Thomas Hayes

Assistant Professor, University of New Mexico

Thomas Hayes is interested in Theoretical Computer Science and Machine Learning. Some of his particular interests are: convergence rates for Markov chains, sampling algorithms for random combinatorial structures, and online decision-making algorithms.

Program Visits

Counting Complexity and Phase Transitions, Spring 2016, Visiting Scientist