Paul Yoon

Software Engineer & Researcher

I'm a third year undergraduate at Stanford University studying Computer Science and Music. I strive to find meaning through my work, whether I'm building projects, conducting research, or learning new things.

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Here's what I've
worked on.

AutoML-Cardiac

Autonomous ML experiment framework for cardiac MRI classification on the ACDC dataset.

PyTorchPythonMarkdown

01AutoML-Cardiac

Ask Stella

Full stack web app solving radiologists' pain points with AI workflows, integrating multiple into one place.

Next.jsTypeScriptSupabase

02Ask Stella

Hidden Studios AdTech Platform

Ad campaign scheduling platform with impression forecasting powered by live Fortnite player-count data

Next.jsTypeScriptSupabase

03Hidden Studios AdTech Platform

Stanford Christian Students App

Full stack web & mobile app delivering daily scripture reading(s) for Stanford students

React NativeTypeScriptAWS

04Stanford Christian Students App

Formalizing Wigner's Semicircle Law

Translating random matrix theory proofs into machine-verified mathematics

LeanMathlibLaTeX

05Formalizing Wigner's Semicircle Law

Timestamping Video Game Eliminations

Lightweight computer vision pipeline for splicing Brawl Stars highlights from raw footage

PythonYOLOv8OpenCV

06Timestamping Video Game Eliminations

S1R PET/MRI Knee Pain Research

Analyzed PET/MRI scans of patients with chronic knee pain. Presented at SNMMI conference. Co-author of manuscript

HorosExcelPowerpoint

07S1R PET/MRI Knee Pain Research

Skills: Things I
Build With.

Languages

Python
JavaScript
TypeScript
HTML / CSS
LaTeX
Lean
C++
C

Frameworks / Libraries

React
React Native
Next.js
Tailwind CSS
FastAPI
Express
Pandas
Scikit-Learn
PyTorch

Developer Tools

Git / Github
Supabase
AWS
Google Cloud
Apache Spark
Jupyter Notebook
VS Code
Qt Creator