Not your typical STEM kid

Half Logic,
Half Imagination

Born in China, shaped by Toronto and New York. I work on the algorithms behind large language models — but what moves me is building AI that understands people and actually helps. I'm as drawn to a novel or a gallery as I am to code.

Say Hello Download Résumé
China → Toronto → New York | INFJ | TFT & Minecraft | Curious by default
/ 01 — ABOUT

a person, first — then the code

I grew up in China and moved to Toronto at eighteen, then to New York for grad school. Three countries, two languages. It's given me a way of seeing things from slightly outside, like I'm always translating something in my head.

I study computer science and statistics, but I'm not sure I fit the mold. I'm quiet, a bit shy, and I stumble over words more often than I'd like. I read novels when I'm supposed to be coding. I spend hours in museums. And I think understanding what people feel matters just as much as understanding algorithms.

What draws me to AI is this question: can a system really understand someone? Outside of that, you'll find me at a murder mystery game trying to piece together clues, deep in a round of TFT, or on a badminton court. I'm full of contradictions. Introverted but drawn to stories about people. Self-doubting but still trying to figure things out.

/ 02 — EDUCATION
Low Memorial Library, Columbia University
Butler Library, Columbia University

Columbia University

SEP 2026 — FEB 2028

M.S. in Computer Science · New York, NY

Where I am now — working on the algorithms behind large language models, and thinking about how they might actually understand the people who use them.

University College, University of Toronto
Convocation Hall, University of Toronto

University of Toronto

SEP 2022 — MAY 2026

Honours B.Sc. · Toronto, Canada

Four years in Canada that taught me more than coursework — a double major in Computer Science and Statistics with an Economics minor, and the slow art of feeling at home somewhere new.

  • Machine Learning
  • Deep Learning
  • Probability
  • Data Analysis