I am a tenure-track Assistant Professor in the Department of Biostatistics at the University of North Carolina (UNC) at Chapel Hill. Previously, I was a HDSI Fellow at the Harvard Data Science Initiative and a Postdoctoral Fellow in the Department of Statistics at Harvard. I received my Ph.D. in Biostatistics from the Division of Biostatistics at the University of California, Berkeley, advised by Mark van der Laan. Before that, I studied mathematics and worked as a research fellow at the Translational Genomics Research Institute (TGen).

I’ve been fortunate to receive support from the HDSI Fellowship, BIDS Fellowship and the BBD Fellowship.

My research interests lie at the intersection of causal inference, non- and semi-parametric statistics, efficiency theory, and machine learning.

I am particularly interested in challenges that arise in longitudinal and structured dependent settings, including adaptive sequential experiments, online learning, reinforcement learning, and broader applications in (personalized, public) health.