I am a Research Scientist at Meta on the Core Data Science team, where I work on a variety of problems related to sequential decision making under uncertainty. My research interests are in the areas of reinforcement learning, approximate dynamic programming, and Bayesian optimization. I received my PhD in Operations Research & Financial Engineering from Princeton University in 2016 and am also affiliated with the University of Pittsburgh as an assistant professor (currently on leave) in Industrial Engineering.
Interests
Reinforcement learning, approximate dynamic programming, Bayesian optimization, operations research