I am a Wojcicki-Troper Data Science Fellow at the Harvard Data Science Initiative in the Department of Statistics at Harvard University. Previously, I completed my Ph.D. in the Division of Biostatistics at UC Berkeley advised by Professor Mark van der Laan. Before UC Berkeley, I studied mathematics and worked as a fellow at the Translational Genomics Research Institute.

During my graduate studies, I was fortunate to serve as both a BIDS Fellow and the Biomedical Big Data Fellow. I am also a founding core developer of the tlverse project, a software ecosystem dedicated to targeted learning.


My research interests combine causal inference, machine learning and non/semiparametric inference. I am particularly interested in problems arising in adaptive sequential experiments, reinforcement learning and personalized health in general.