Junha Lee
Quantitative Researcher
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJunha Lee is a quantitative researcher based in New York with a decade of experience at the intersection of AI, chemistry, and quantitative finance. Currently at Jane Street, he brings practical ML and research experience from internships and research roles at Citadel Securities, Stanford AI Lab, Samsung, and Harvard Medical School. His work spans graph neural networks for chemical potential surfaces, TB-scale medical event modeling with LLMs, and algorithmic trading research, reflecting a rare blend of domain chemistry knowledge and production-minded ML. A Stanford CS MS and chemistry BS graduate with top grades, he has a track record of selective research programs (RSI) and high-impact lab projects in materials and catalysis. Notably, he declined a return offer from Citadel Securities, suggesting intentional career direction rather than default progression. He is comfortable moving between rigorous lab experimentation and large-scale ML systems to tackle applied scientific and financial problems.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Chemical and Biological Engineering (Discontinued), Bachelor's degree, Chemical and Biological Engineering (Discontinued) at Seoul National UniversityHigh School Diploma, High School Diploma at Korea Science Academy of KAISTMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Github Skills (5)
dimensions2
binding1
crawler1
playing1
quest1
Programming languages (4)
Github contributions (5)
TheRealJunhaLee/platformer
Dec 2016 - Oct 2017
Contributions:22 commits, 21 pushes, 3 branches in 9 months
cobalt-coding/scissor-lift-simulator
Jan 2018 - Apr 2018
Contributions:40 PRs, 55 pushes, 9 branches in 2 months
buymetroidvania
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