CV
- Name
- Yucheng (Steven) Chen
- Label
- Machine Learning Research & Software Engineering
- i@schen.me
- Website
- schen.me
- Summary
- Computer science student at the University of Toronto. I work on model reliability: uncertainty estimation for medical image segmentation with Project Neura / UTMIST, and a scaling audit of layer-local training that found Forward-Forward does not hold up on real data. Outside research I build production full-stack systems and my own options analytics tooling.
Work
2024 – PresentResearch Intern
Medical image analysis, with a focus on uncertainty and reliability.
- Co-first-authored MIPCandy, a modular PyTorch framework for medical image processing (arXiv:2602.21033, 290+ GitHub stars)
- Co-authored SegWithU, a post-hoc uncertainty module that lets a frozen segmentation model flag its own failures in a single forward pass (arXiv:2604.15271)
- Contributed to the SortScrews dataset paper
2025.02 – PresentAI / Full-Stack Engineer Intern
Part-time. Kabuda runs a multi-service platform for newcomers and international students in the Greater Toronto Area.
- Built conversational AI features and agent workflows for client-facing web and mobile products
- Designed and implemented the REST backends those products run on
- Continuing part-time alongside full-time study
2024 – PresentFounder
Amplimit
Independent research organization; the affiliation carried on my publications.
- Sole-authored a scaling audit of Forward-Forward learning, including the first FF-family baseline at ImageNet-100 224x224 (arXiv:2606.06539)
- Builds Ampdraft, a writing tool that gives documents version control
Education
2026.09 – PresentToronto, Canada
Computer Science, Faculty of Arts & Science (University College)
University of Toronto
2025Ontario, Canada
Ontario Secondary School Diploma
Elton Academy
Awards
- FBLA Canada National — Coding & Programming — 5th place / 1,800+ competitors (2025)
- Euclid Mathematics Contest — Top 25% / 27,092 participants worldwide (2025)
- Diamond Challenge (Round 2) — Honorable Mention (2025)
- Canadian Computing Competition (CCC) — Top 120 in Canada (2024)
- UofT Rotman Commerce Boardroom Competition — Award Winner (2024)
- Canadian Senior Mathematics Contest (CSMC) — Top 25% / 16,425 registrants (2024)
Publications
2026.06
arXiv preprint (not peer-reviewed) · Yucheng Chen
2026.04
arXiv preprint; under review at UNSURE 2026 (MICCAI workshop) · Tianhao Fu, Austin Wang, Charles Chen, Roby Aldave-Garza, Yucheng Chen
2026.02
arXiv preprint · Tianhao Fu, Steven Chen
Technical Skills
- Languages
- Python, Java, C++, Rust, TypeScript
- ML/DL
- PyTorch, computer vision, medical image segmentation, uncertainty estimation
- Web
- Next.js, React, NestJS, Tailwind CSS, Prisma
- Data
- PostgreSQL, Redis, SQLite, Meilisearch
- Infrastructure
- Docker, Nginx, PM2, Linux, Git
Languages
- Mandarin
- First Language
- English
- Fluent
Projects
Options analytics dashboard, built for my own research
- IV surface, smile, term structure, skew, GEX, open interest walls, max pain, expected move
- Python/Dash pipeline that pulls and normalizes full option chains across every expiration
- Exposed as an MCP server so a language model can query the pipeline directly
2026Ampdraft
Version control for writing
- Snapshots, parallel variants, and word-level diff between any two versions
- Deliberately avoids Git vocabulary; the model is presented as a timeline you can branch from
- Next.js + Prisma + Postgres, with client-side PDF export via Typst compiled to WASM
2025ATLAS
Stock market pattern recognition with computer vision methods
- Encoded price series as images (GASF/GADF/RP/MTF) and classified them
- 83.4% validation accuracy with 17,081 parameters, 18.5x fewer than the ResNet-style CNN baseline
- Sub-millisecond inference, validated across 200+ stocks
Portfolio management and analysis tool
- Built for the Wharton WGHS competition, Python backend with a Next.js frontend
- Parallel pipeline supporting 60+ assets with sub-3-second response
- SSE streaming for progressive metric loading
Extracurricular
2024 – 2025Vice President
FBLA Canada, Bur Oak Chapter (Econ & Biz Champs Club)
- Recruited and mentored 50+ members
- Competed in the Wharton WGHS Investment Competition as an executive