Roy earned an S.B. and M.Eng. in Electrical Engineering and Computer Science, and a Ph.D. in Computer Science, from MIT. His dissertation on probabilistic programming received the department’s George M Sprowls Thesis Award. Subsequently, he held a Newton International Fellowship of the Royal Society, hosted by the Machine Learning Group at the University of Cambridge, and then held a Research Fellowship at Emmanuel College. Roy’s research focuses on theoretical questions that mix computer science, statistics, and probability.