Miller Fellow
Department of Statistics
University of California, Berkeley
Miller Fellow
Department of Statistics
University of California, Berkeley
I am a post-doctoral Miller fellow at the University of California, Berkeley. I am hosted in the Department of Statistics by Michael I. Jordan.
I completed my PhD in the Department of Statistics and Data Science at Carnegie Mellon University where I was advised by Aaditya Ramdas and received the Umesh K. Gavaskar Memorial Thesis Award. I obtained a Bachelor's degree in Pure Mathematics and Statistics from the University of Waterloo.
I am broadly interested in statistics, machine learning theory, and probability. Recently, I have focused on topics in anytime-valid sequential inference, e-values, causal inference, concentration inequalities, and strong limit theorems.
I am on the 2026–2027 academic job market.