I am a postdoctoral researcher in the Department of Mathematics and Statistics at McGill University, working with Archer Yang and Eric Kolaczyk.

I received my Master’s and PhD degrees in Statistics from the Department of Statistical Science at Duke University. I was advised by Surya Tokdar during my PhD, and by Peter Hoff and Alex Volfovsky during my Master’s. I was also an AI Health Fellow at Duke University School of Medicine, where I was supervised by Sam Berchuck. Prior to that, I completed my undergraduate studies at The Chinese University of Hong Kong, majoring in Insurance, Financial and Actuarial Analysis. I subsequently worked as an actuary in Hong Kong.

My research interests lie in philosophical and foundational questions in statistics, with a focus on methodologies that are Bayesian in formulation yet have strong frequentist guarantees. More broadly, my work touches on Bayesian methods and decision theory. My applied work is motivated by challenges in clinical research, especially in the context of large and complex datasets such as the Electronic Health Records.

Outside of Statistics, a few things I’ve been enjoying doing regularly are: yoga, tennis, and wall climbing.