I am a Postdoctoral Researcher at Microsoft Research NYC. I obtained my PhD at UC Berkeley where I was advised by Peter Bartlett and Michael Jordan. My research lies in the areas of Reinforcement Learning, Online Learning, Bandits and Algorithmic Fairness. I am particularly interested in furthering our statistical understanding of learning phenomena in adaptive environments and use these theoretical insights and techniques to design efficient and safe algorithms for scientific, engineering, and large-scale societal applications.
Later this year I will be joining the Broad Institute of MIT and Harvard to work on novel mathematical, computational and algorithmic paradigms for biomedical research. Subsequently I will start as an Assistant Professor at the Boston University Center for Computing and Data Sciences.
PhD in Computer Science, 2021
University of California Berkeley
MEng in Computer Science, 2014
Massachusetts Institute of Technology
Masters of Advance Study in Pure Mathematics, 2013
Cambridge University
Bachelors of Science in Computer Science and Theoretical Mathematics, 2012
Massachusetts Institute of Technology