I build software the way I study probability — carefully, and with a bias toward the truth in the data.
I’m a rising third year statistics and data science student at UCLA who spends most of his time shipping things: web apps, mobile apps, and the occasional analytics engine that tells me whether my poker instincts hold up under a few million simulated hands. I like problems where the math is honest and the interface is quiet.
Outside of coursework, I spend my time exploring problems that sit at the intersection of statistics, software, and decision-making. Recently that has meant building a React Native application, studying game-theoretic poker through solver analysis, and reading about machine learning, optimization, and probability. Every project is another excuse to learn something new. If any of that resonates, there's a longer version of the story. More about me »
- StudyingB.S. Statistics & Data Science, UCLA
- BuildingWeb & mobile apps, mostly in TypeScript
- Based inToronto, Los Angeles, Shanghai
- CurrentlyOpen to summer 2027 internships