Ryan Giordano is currently a Statistics Postdoctoral Associate in Tamara Broderick’s group at MIT. Ryan received his PhD in statistics from UC Berkeley, where he was advised by Michael Jordan, Tamara Broderick, and Jon McAuliffe. Ryan has additionally earned an MSc with distinction in econometrics and mathematical economics from the London School of Economics and undergraduate degrees in mathematics and theoretical and applied mechanics from the University of Illinois in Urbana-Champaign. He has worked as an engineer for Google and HP and served as an education volunteer in the US Peace Corps in Kazakhstan. His research interests include variational methods, Bayesian robustness, sensitivity analysis, open software, and the philosophy of science.