About
Around 2016, a few years removed from a mathematics degree, my interest in proofs, statistics, and even logic puzzles was waning. I was leaning toward creative pursuits—working odd jobs, reading fiction, and making music. During that time, my brother lent me Stat Shot.
The book was written as an entry point for casual fans to understand advanced hockey statistics. I read it as a blueprint. It helped me understand the research process as a creative one: curiosity gives way to a qualitative argument, possible quantitative frameworks take shape, and an idea is either pursued or set aside.
That process led from independent hockey research to an internship at the St. Lawrence River Institute, then to applied research at Statistics Canada. I now work as a Data science contractor for the Chicago Blackhawks.
I have also been building a tennis-tracking program intended to scale from individual matches to tournament-level data. That project is paused with intent to return.
My public work currently lives in sports, though the methods range from Bayesian inference and simulation to regression and calibration.