Berk Ustun
Former Research Assistant, Joint Program
Bio
Advisor:
Prof. Mort Webster
Berk developed research tools to model and solve problems in sequential decision making under uncertainty. His work involved implementing state-of-the-art statistical, numerical and computational techniques to solve intractable large-scale problems.
Education & Credentials
S.M., Computation for Design and Optimization, MIT, 2012
B.S., Industrial Engineering and Operations Research, University of California, Berkeley, 2009
B.A., Economics, University of California, Berkeley, 2009
S.M. Thesis: The Markov chain Monte Carlo approach to importance sampling in stochastic programming