Dongjin Lee
Quantitative Researcher
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolDongjin Lee is a quantitative researcher and AI scientist with eight years of experience bridging foundational research and production systems across industry-leading firms in Seoul. He holds a PhD in electrical engineering from KAIST and has applied graph neural networks, geometric learning, and multimodal LLMs to problems ranging from AI-driven drug discovery at KakaoBrain to vision-language and GUI agent work at Kakao Corp. At TmaxData he built core database and system software components—earning two patents—demonstrating deep systems-level expertise alongside his ML research. Now at WorldQuant, he combines quantitative modeling with advanced machine learning to inform trading research and strategy. Known for moving ideas from prototype to deployed service, he brings a rare mix of theoretical rigor and pragmatic engineering across software, ML, and large-scale systems.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, School of Electrical Engineering, Doctor of Philosophy - PhD, School of Electrical Engineering at Korea Advanced Institute of Science and Technology
Github Skills (5)
python9
kubernetes9
tmux3
zsh3
tmux-configuration2
Programming languages (1)
Github contributions (5)
wooner49/.tmux
Nov 2019 - Sep 2022
🇫🇷 Oh My Tmux! Pretty & versatile tmux configuration made with ❤️ (imho the best tmux configuration that just works)
Contributions:4 PRs, 7 pushes, 1 branch in 2 years 9 months
tmuxoh-my-tmux-configurationversatiledotfiles
wooner49/sofia
Feb 2021 - Nov 2022
Contributions:17 commits, 16 pushes, 1 branch in 1 year 9 months
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