Turning curiosity into discovery.
Incoming Scientific Computing graduate student at UPenn. I build tools that make sense of complex data, photograph starry skies, and teach skiing across different terrains.
Applied Gaussian Mixture Models with MCMC sampling to characterize stellar membership in the Ursa Minor dwarf galaxy and searched for potential members in its outskirts using DESI spectroscopic data.
Built a hybrid framework integrating time-series structure with external drivers to forecast global cocoa prices, reducing MAPE to 5.39% across 6,000+ daily observations.
Curiosity-driven research and engineering at the intersection of mathematics, statistics, and computation.
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At the intersection of mathematics and computation
I'm an incoming MSE student in Scientific Computing at the University of Pennsylvania, and a UofT graduate in Mathematics & Statistics with a minor in Computer Science. My research focuses on applying Bayesian inference and machine learning to astronomical datasets, while my project work spans time-series forecasting, computer vision, and quantitative finance.
Beyond academics, I'm a CSIA Level II certified ski instructor, a piano player, and a photographer who finds inspiration around the world.
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