Chaoqi Yang
Non-compete at Citadel Securities
Miami, Florida, United States
Summary
🤩
Rockstar🎓
Top SchoolChaoqi Yang is a PhD-trained machine learning researcher and quantitative researcher with nine years of industry experience, currently on a non-compete after roles at Citadel Securities where he built ML-driven statistical arbitrage models for FICC and equities. He combines deep learning for healthcare—contributing models and benchmarks to the PyHealth toolkit—with applied ML in finance, recommendations, and spatio-temporal medical data during internships at Amplitude, IQVIA, and Tencent. Based in Miami, he brings a strong academic foundation from UIUC and SJTU and a track record of shipping research-grade models into production contexts. Notably, his open-source work added clinically-focused models (RETAIN, MICRON, GAMENet) and DDI-aware loss functions to PyHealth, reflecting an uncommon blend of domain knowledge in healthcare and market-facing ML.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois Urbana-ChampaignBachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Shanghai Jiao Tong University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
pytorch10
machine-learning10
deep-learning10
python10
mi10
Programming languages (6)
Github contributions (5)
sunlabuiuc/PyHealth
May 2022 - Jan 2023
A Deep Learning Python Toolkit for Healthcare Applications.
Role in this project:
ML Engineer
ML EngineerContributions:3 releases, 96 reviews, 142 commits in 8 months
Contributions summary:Chaoqi's commits focus on implementing and refining machine learning models within the PyHealth toolkit. They primarily worked on creating and integrating classes for the MIMIC-III dataset, specifically for drug recommendation tasks. The user added RETAIN, MICRON, and GAMENet models, and also included DDI loss functionality, showcasing an emphasis on model development and experimentation within the healthcare domain. Further improvements include implementing a benchmark for drug recommendation tasks.
python-libraryclinical-datapythondeep-learningdata-mining
ycq091044/ycq091044.github.io
Aug 2018 - Oct 2022
my personal homepage
Contributions:192 commits, 2 PRs, 363 pushes in 4 years 3 months
reactnextjspersonal-homepage
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