I am a Research Scientist on the Core Data Science team’s Adaptive Experimentation group. My research focuses on developing methods for contextual bandit optimization, reinforcement learning, and Bayesian optimization. Prior to joining Meta, I was at Harvard University, where my work focused on developing robust and efficient transfer learning methods to advance towards disseminating reinforcement learning to high-stakes human applications.
Interests
Bayesian optimization, contextual bandits, reinforcement learning, transfer learning