Ryan Giordano

Year Graduated: 
Statistics Ph.D. Program
B.S, University of Illinois, 2002
MSc, London School of Economics, 2009
Office / Location: 
431 Evans
rgiordano [at] berkeley [dot] edu
Primary Research Area: 
Applied & Theoretical Statistics
Applied Statistics, Bayesian Statistics, Machine Learning, Statistics in Physical Sciences
On the Local Sensitivity of M-Estimation: Bayesian and Frequentist Applications
Dissertation Advisor: 
Michael Jordan and Jon McAuliffe

Ryan studied mathematics and engineering mechanics as an undergrad and has a mater'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.