I am a Miller postdoctoral fellow in Statistics at UC Berkeley where I am fortunate to be hosted by Michael I. Jordan.

Previously, I completed my PhD in Statistics at CMU where I worked with Aaditya Ramdas. My thesis can be found here.

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.