He leads the Harvard Intelligent Probabilistic Systems group, whose research focuses on machine learning and computational statistics, with applied collaborations across the sciences. Ryan received his undergraduate training in EECS at MIT and completed his Ph.D. in Physics at Cambridge University as a Gates Cambridge Scholar under David MacKay. He was a CIFAR Junior Research Fellow at the University of Toronto before joining the faculty at Harvard. His Ph.D. thesis received Honorable Mention for the Leonard J. Savage Award for Bayesian Theory and Methods from the International Society for Bayesian Analysis. Ryan has won paper awards at ICML, AISTATS, and UAI, and received the DARPA Young Faculty Award.