I’m a physicist turned Sports Data Scientist in Toronto, combining a background in neutrino physics and astronomy with end-to-end analytics across soccer, basketball, and hockey. My scientific training taught me to navigate complex, noisy, and high-dimensional data, skills I now apply in sports, where I build machine learning–driven models and tools that directly support scouting, match preparation, and decision-making.
I bring tactical intuition to the analytical process, translating qualitative questions from coaches and performance staff into quantitative, actionable insights. My focus is on bridging the gap between the pitch and the data, ensuring that every model, dashboard, or report produces measurable impact in real-world performance contexts.
I have collaborated extensively with leading data providers, including: Wyscout, STS, Skillcorner, Scout7, MyCoachPro, Metrica Sports, Second Spectrum, StatsBomb, Opta, and Tracab.
Outside of work, I’m into culture, travel, stargazing and Legos, all things that fuel creativity and keep me curious.