About

I am an undergraduate at UC Berkeley studying Applied Mathematics & Statistics with a minor in Data Science (expected May 2026). I care about using careful modeling, statistics, and machine learning on problems that matter—especially where health and messy real-world data meet.

Recently I spent the summer as a Data Science & Machine Learning intern at Regeneron, where I worked on a RAG system tied to biomedical APIs (literature and structured sources) and on ML for accelerometer time series from patients with neurological conditions—aimed at disease progression signals for clinical decisions.

On campus I help run large hackathon programs with Hackathons @ Berkeley, serve as an officer with the Mathematics Undergraduate Student Association, and mentor peers through the Data Science Club. I also support faculty and staff as a student IT consultant.

Outside of coursework and work, I read widely—philosophy, fiction, and science—and use this site to share projects, writing, and a reading shelf synced from StoryGraph.