I am an Assistant Professor in the Department of Biostatistics at the University of North Carolina at Chapel Hill (UNC). Previously, I was a Wojcicki-Troper Data Science Fellow at the Harvard Data Science Initiative and a Postdoctoral Fellow in the Department of Statistics at Harvard University. 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 a 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 lie at the intersection of causal inference, machine learning, and non-/semiparametric inference. I am particularly interested in challenges arising in longitudinal settings, including adaptive sequential experiments, reinforcement learning, and broader applications in personalized health.