Hi, I'm Steven Chen.
I'm a Grade 12 student in Canada. My research interests include computer vision, medical image processing, and the application of AI in quantitative finance. I'm also a full-stack developer, primarily working with Next.js, React, NestJS, and PostgreSQL.
I started programming in middle school and entered deep learning through YOLOv5. In high school, I joined Project Neura as a research intern, working on medical image segmentation. I co-first-authored MIPCandy with Tianhao Fu, a modular PyTorch framework for medical image processing.
In quantitative finance, I developed ATLAS, applying computer vision methods to stock market pattern recognition. I joined the Econ & Biz Champs Club at Bur Oak Secondary School, and as an executive competed in the Wharton WGHS Investment Competition, for which I built Portfolio Manager, a portfolio management and analysis tool. I currently remain on the club's steering committee.
I founded Amplimit in 2024 and also work as a developer at Kabuda Group, responsible for client website development and delivery. Under Amplimit, I co-created LexAmp, an AI-powered legal services platform connecting consumers with lawyers. We are also exploring work in quantitative finance.
Featured Projects
Recent projects I've worked on
Latest Posts
Thoughts, tutorials, and insights
Introducing Dynamic Temperature Goodness: A Breakthrough in Forward-Forward Learning
Introducing DTG-FF, a novel approach that improves Geoffrey Hinton's Forward-Forward algorithm through dynamic temperature goodness, achieving 60.11% accuracy on CIFAR-10 - an 11.11% improvement over the original FF algorithm.
Hello World: Starting My Blog Journey
Welcome to my personal blog! This is the first post where I share why I started this blog and what you can expect.
RC Boardroom Chronicles: AI Applications in the Legal Industry
Recording my experience participating in the University of Toronto Rotman Commerce business case competition, detailing how to use LLaMA-Factory to fine-tune large language models and build AI solutions for law firms.
Get in Touch
I'm always happy to chat about machine intelligence, finance, or interesting problems in general. If you're working on something cool or just want to exchange ideas, feel free to reach out through i@schen.me, or find me on: