Young Lee
Associate Professor Of Artificial Intelligence
Jeju, South Korea
Summary
👤
Senior🎓
Top SchoolYoung Lee is an Associate Professor of Artificial Intelligence and Chief Innovation Officer at Cheju Halla University with nine years of experience bridging academic research and industry-grade AI systems. He teaches and mentors across NLP, MLOps, robotics, and operating systems while directing university-wide initiatives that translate theoretical AI into practical innovation. His background spans quantitative finance and sustainable finance—having led machine-learning NLP projects at Stanford's Precourt Institute and text-mining analyses of central bank communications—bringing rigorous data-driven methods to policy and investment problems. Earlier roles building risk models, quantitative rating systems, and real-time financial databases cultivated a rare blend of production-grade engineering and financial domain expertise. Based in Jeju, he is known for designing AI "systems beyond models" that prioritize system-level integration and real-world impact. Colleagues value his ability to turn complex academic ideas into deployable tools that inform decision-making across finance, sustainability, and robotics.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Finance, Doctor of Philosophy (PhD) Finance at Yonsei University
English, Korean
Github Skills (39)
sentiment-analysis10
mecab10
pos-tagger10
hydra9
conventional-commits9
docker-compose9
corpus9
docker9
semantic-release9
command-line-utility9
tokenizer9
pypi9
ros8
cookiecutter8
scaffolding8
Programming languages (11)
Github contributions (5)
entelecheia/entelecheia
Sep 2022 - Mar 2025
ἐντελέχεια 【en.te.lé.kʰeː.a】
Contributions:7 reviews, 112 PRs, 205 pushes in 2 years 6 months
entelecheia/course-template
Feb 2024 - Mar 2025
Streamlined course creation template with interactive documentation support
Contributions:10 reviews, 33 PRs, 51 pushes in 1 year
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