I’m an aspiring statistician and graduate student at the University of British Columbia interested in using quantitative methods to solve practical problems. I’m drawn to statistics because it sits at the intersection of mathematics, philosophy, and real-world decision-making. My background is in mathematics and statistical modeling. I’m particularly interested in regression, and experimental design.

I’m especially motivated by bridging newer developments in Bayesian methods and machine learning with classical statistical inference. I believe the most useful analysis is not the most fashionable, but rigorous, transparent, and grounded in the structure of the problem at hand.

Long term, I wish to work in the intersection of classical statistics and modern methods. I value strong foundations while embracing newer approaches when they add insight. My goal is not simply to apply sophisticated tools, but to use the right tools thoughtfully in a way that makes statistical insight accessible, reliable, and actionable.

Here are some of the typset notes I have written: Notes