Ryan studied mathematics and engineering mechanics as an undergrad and has a master's degree in econometrics. He has worked at Google, HP, and has served in the US Peace Corps in Kazakhstan. His academic interests include variational methods, hierarchical models, parallel algorithms, and the philosophy of science.
MSc, London School of Economics, 2009
On the Local Sensitivity of M-Estimation: Bayesian and Frequentist Applications
Michael Jordan and Jon McAuliffe
Statistics Ph.D. Program
Year Entered Program
Alumni Employment History
Assistant Professor, UC Berkeley