I am a PhD student in the biostatistics department at UC Berkeley working with Mark van der Laan. My research interests revolve around personalized medicine, causal inference and machine learning. Most of my current work involves causal inference with times-series, optimal individualized treatment, online learning, reinforcement learning, and adaptive sequential designs.
I am a founding core developer of the tlverse project, the software ecosystem for targeted learning. During my graduate studies, I enjoyed numerious collaborations with Bill and Melinda Gates Foundation, Gilead Sciences, Kaiser Permanente, and TGen.