01 · about
I’m Enrong — a fourth-year student at Queen’s University double-majoring in AI and mathematics. My research lives where the two overlap: I evolve programs and study generative models, chasing AI whose reasoning a human can actually read. Right now that means working on evolutionary program synthesis for abstract reasoning in Dr. Ting Hu’s lab, with two papers in preparation.
Outside the lab I read a lot — English and Mandarin literature in roughly equal measure. I’m a Christian; when I noticed Christian students didn’t have a truth-or-dare game of their own, I built the first one.
I’ll play any sport you suggest — basketball, sprinting, badminton, tennis, swimming, squash — and I am, functionally, a pet person. Evidence below.
02 · education
B.Comp. (Hons.) — double major, Computing (AI) & Mathematics
Exchange — Informatics & Mathematics
03 · experience
Novel AI methods for abstract visual reasoning via evolutionary program synthesis, with end-to-end research ownership — design through evaluation, targeting peer-reviewed publication.
Supported 300+ students through tutorials, office hours, and (kind) grading.
Built the data pipeline behind a large-scale empirical study of security fixes in open source — scraping, parsing, and classifying metadata from 600+ GitHub repositories (Cohen’s κ ≥ 0.92).
04 · research
interests: evolutionary computation · generative models & algorithms · interpretability · LLM reasoning
Evolving symbolic programs that discover abstract transformation rules on the ARC benchmark — reasoning that is transparent, auditable, and human-verifiable. Research Fellow with Dr. Ting Hu.
581 vulnerability lifecycles across 600+ repositories: 58.5% of fixes violated silent-fix protocols, with a median 33-day gap between release and disclosure. With Dr. Yuan Tian.
05 · selected publications
All early-stage, statuses worn honestly.
With Dr. Yuan Tian’s group. Submitted to the IEEE/ACM International Conference on Automated Software Engineering (ASE).
06 · projects
A few favourites — the rest live on GitHub.
shipped
Point it at your skincare — it reads 400+ ingredients and tells you the truth, in English or Chinese. Production RAG with ~5s end-to-end latency.
Astro · TypeScript · Supabase pgvector · OpenAI
first ever
The first online truth-or-dare game built specifically for Christian students — party game, fellowship edition. Bilingual, with a timer and a shameless skip button.
HTML · CSS · JavaScript
live
Born at a hackathon, now a voice-native coding agent — talk to your repository and it runs the tests, edits the code, and talks back, every tool call visible.
TypeScript · Node.js · OpenAI · ElevenLabs
A multi-agent pipeline for biomedical literature: papers go in, agents retrieve, read, and summarize — one readable brief comes out. T5 summarizer, ROUGE-1 0.48.
Python · HuggingFace · ChromaDB · AWS S3
market-tested
Priced real AAPL call options by simulating 50,000 possible futures — landing within 2.7% of live market prices, and 0.1% on the best strike. Poster project from the Edinburgh maths school.
Python · Geometric Brownian Motion · Yahoo Finance
07 · awards
08 · on the wall
A wheel of places. Scroll it, drag it, or click a photo to bring it around.
a card faces front when it settles · the caption rides on its right · open full-screen ↗
09 · the pet department
Some are mine. Most just trust me quickly.
