Ryan is currently an assistant professor of statistics at UC Berkeley. He earned a PhD in statistics from UC Berkeley advised by Michael Jordan, Tamara Broderick, and Jon McAuliffe, an MSc with distinction in econometrics and mathematical economics from the London School of Economics, and undergraduate degrees in mathematics and engineering mechanics from the University of Illinois in Urbana-Champaign. Ryan has worked as a postdoctoral researcher at MIT under Tamara Broderick, as an engineer for Google and HP, and served for two years as an education volunteer in the US Peace Corps in Kazakhstan. His research interests include machine learning, variational inference, Bayesian methods, and robustness quantification.

(A resume. Let’s be honest, probably not the most recent one.)

Publications

Publications and preprints can be found on my arxiv page.