Stefanie Nguyen personal website

Hello, I'm Stefanie — Hà Phương

If you want to know more about my journey, please visit this autobiography.


Me in a nutshell

I'm studying Math and Computer Science (Class of 2029) at Pomona College in Claremont, CA.

Right now, I'm interested in the intersection of pure math and practical ML/AI, with a soft spot for computer vision. Outside of research and coursework, I also just love building quirky, spontaneous projects simply for the fun of making things work.

If you want to yap or meet up or want to talk about anything, write to me !

Stefanie

My experience

7 stops so far, newest first. Click a card to flip it over and read the full story.

drag the timeline →

  1. SEP 2026 · CURRENT

  2. MAY 2026 · CURRENT

  3. MAR 2026 · CURRENT

  4. MAR 2026 · CURRENT

  5. JAN 2026 · COMPLETED

  6. OCT 2025 · CURRENT

  7. JUL 2025 · COMPLETED


Things I've built

Phở-Around

in progress · optimization, mip, llm, fastapi, react

A web-based itinerary planner that frames city wandering as an orienteering optimization problem. Powered by a PuLP/CBC mixed-integer linear solver, bilingual (EN/VI) schema-constrained LLM parsing, and a React 19 + FastAPI backend with offline travel-time routing.

P-resents

published · algorithms, next.js, tailwind

A gift-exchange planner built on bipartite matching: generates optimized rule sets from group traits, cutting manual matching time by 90%. Next.js + Tailwind, with RESTful APIs and secure authentication flows.


What I'm thinking about

[Working title] On exact recovery of binary signals from incomplete Fourier data

Phuong Nguyen and Thang Pham · Manuscript in preparation · Vietnam Polymath REU · 2026

If some of a signal's Fourier coefficients go missing, when can the signal still be reconstructed exactly? The guarantees in the literature are sufficient conditions — they certify recovery but leave a gap to where recovery actually stops. This paper lives in that gap: we believe the right answer is sharper than what counting arguments can see, and cheap to check. Details when the preprint is out.

[arXiv][pdf]publication coming soon!

How Much Real Data? Training-Data Composition for Sim-to-Real Visual Navigation on a Low-Cost Robot

with the ARCS Lab, Pomona College · Manuscript in preparation · 2026

How much real data does a deployable vision policy actually need? On a JetBot line-follower scored millimetre-level against motion-capture ground truth, we sweep real/simulated training mixes with the simulated set held fixed: neither source transfers alone, hybrids keeping at least 90% of the real pool complete every run at ~16 mm, and below that lies a cliff. The real fraction — not the absolute count of real frames — is what carries transfer.

[arXiv][pdf]publication coming soon!


Off the clock

Film photos from home, and a little web darkroom called Ham Chơi. Everything on the miscellaneous shelf happens off the clock, and still shapes how I build things.