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

View all projects

Investment Portfolio Management Tool

PythonTypeScriptReact

MIPCandy

Active

A Modular PyTorch Framework for Medical Image Processing

PythonPyTorchMedical AIComputer Vision

ATLAS

Archived

AI-Powered Stock Market Pattern Recognition System

PythonPyTorchDeep LearningQuantitative Finance

LexAmp

Active

AI-Powered Legal Services Marketplace

Next.jsTypeScriptPostgreSQLPrisma+1

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: