I am a senior at Rice University double-majoring in Statistics and Sport Analytics with a minor in Data Science, having previously served as Lead Baseball Analyst for Rice Baseball. My work centers on quantitative baseball R&D, probabilistic modeling, and continuous spatio-temporal tracking data. Specializing in pitch repertoire synergy (Blend+), kinematic swing adjustability (The Swiss Army Swing), and starter removal policies under structural censoring, my research has been featured in oral presentations at CASSIS and Saberseminar, as well as CMSAC and SABR 54.

Backed by hands-on engineering across markerless motion capture and TrackMan systems at Driveline Baseball and Rice Athletics, I build scalable models and automated tools to drive both front-office R&D and advanced graduate research in Statistics and Data Science.