I recently completed my PhD in Statistics at CMU where I was fortunate to be advised by Aaditya Ramdas.

I am broadly interested in statistics, machine learning, and probability, often with an eye towards anytime-valid sequential inference, e-values, causal inference, and privacy.

In the fall of 2024, I will begin as a Miller postdoctoral fellow in Statistics at UC Berkeley hosted by Michael I. Jordan.