I am currently undertaking a postdoc with Yee Whye Teh at Oxford in the computational statistics and machine learning group in the Department of Statistics. My research is on scalable methods for spatiotemporal statistics and Bayesian machine learning, applied to public policy / social science areas including crime, emotion, and public health.
I completed my PhD at Carnegie Mellon University in August 2015 in a program that is joint between public policy and machine learning.At CMU, I was a member of the SML lab, headed by Alex Smola and the Event and Pattern Detection Laboratory, headed by Daniel Neill. I spent summer 2013 at Microsoft Research NYC in the computational social science group and I spent the 2014/15 academic year visiting the statistics department at Columbia University.
I’m originally from Evanston, Illinois. I graduated from Harvard in 2008 with a BA in mathematics and computer science. At Harvard, I was on the board of the Harvard College Democrats and Harvard Hillel and I chaired the Harvard College Progressive Jewish Alliance. I took part in Harvey Mudd’s fantastic Research Experience for Undergraduates in summer 2006. My undergraduate thesis was on connections between the Unique Games Conjecture and semidefinite programming-based approximation algorithms.
I lived in Lausanne, Switzerland from 2008-2011. I first worked and studied at Ecole Polytechnique Fédérale de Lausanne (EPFL). In the fall of 2010, I joined the Mortality and Burden of Disease group in the Department of Health Statistics and Information at the World Health Organization, working on the Global Burden of Disease project and the Nutrition Impact Model Study.
(You may be looking for the other Seth Flaxman, who graduated from Columbia in 2007, worked at the Council on Foreign Relations, and is now running TurboVote. You can find him on LinkedIn.)