About Me

Welcome to my homepage! I am a Ph.D. student in Statistics at the University of Toronto, advised by Professor Radu Craiu and Professor Monica Alexander. I am also an Affiliate Researcher at the Vector Institute.

My research focuses on Bayesian methodology, probabilistic modeling, and approximate inference. My current project works on Bayesian modeling for generating probabilistic population projections.

I received my M.S. in Statistics from the University of Chicago in 2024, where I was very fortunate to be mentored by Professor Dacheng Xiu and Professor Per Mykland. Before UChicago, I received my B.S. in Statistics and Financial Mathematics, also from UofT. My master’s thesis was on large-scale realized volatility prediction with machine learning (see my presentation slides and paper). Influenced by my prior academic training and research, I have continued to develop a side interest in financial econometrics.