About Me
A student, builder, and community leader who learns by creating technology and leads through long-term service.
I fell in love with mathematics because it was fair: a problem had a right answer, and if I was patient enough, I could find it. Competitions gave that love a shape — the national IMSO team in Grade 6, then years of olympiads.
But at some point, winning another medal stopped being the point. I noticed that the questions I cared about most did not come with an answer key. They came from people — a classmate who could not see the board, a teacher with no time to prepare accessible materials.
Learning to code changed what mathematics could be for me: not only something to prove, but something to build. So I moved from being a problem-solver to a problem-finder — and the problems I keep returning to are about access: who gets to learn, and who gets left out.
My Values
Listen before building
The first version of an idea is usually about me. The useful version comes from the people I built it for.
Rigor with empathy
Mathematics taught me to be precise. People taught me to be kind about what precision is for.
Keep showing up
Leadership is a promise measured in years, not events — the same programs, run better each time.
Measure honestly
I would rather report a small, real number than a large, invented one.
How I think
Start from the person, not the technology. Define the problem precisely, then build the smallest thing that tests whether I understood it. Measure honestly, and be willing to be wrong in front of the people I am building for.
Beyond the classroom
I lead the Newton Math Club, volunteer at the Zero-Dong Market in my home province, and spend time with students who are blind or have low vision. These are not résumé lines to me — they are where my questions come from.
What I hope to build
AI and robotics that widen access to good education — tools that work in a low-connectivity classroom, describe a diagram to a student who cannot see it, and give a teacher back their evening. I want to study Computer Science and AI to do this well, and responsibly.