Junkyu Lee
Staff Research Scientist at IBM
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolJunkyu Lee is a Staff Research Scientist based in the New York City area with eight years of experience specializing in reasoning with large language models and causal inference. After earning advanced degrees in physics, wireless communication, and computer science (including a PhD from UC Irvine), he transitioned from systems engineering for defense to ML research roles at TuSimple and Adobe before joining IBM's research team. His work blends rigorous academic training with practical ML deployments, including sequence-to-sequence generative models for temporal point processes and simulation-driven systems design. Known for bridging theory and application, he focuses on making LLM reasoning more robust and causally grounded at scale.
8 years of coding experience
17 years of employment as a software developer
Master of Science (MS) Wireless Communication, Master of Science (MS) Wireless Communication at Korea Advanced Institute of Science and TechnologyUniversity of California, Irvine
English, Korean
Stackoverflow
11reputation
963reached
0answers
1question
Github Skills (36)
predict9
nlp8
mahjong8
game-theory8
statistical-learning7
retrieval7
game-ai7
statistics7
text-based7
natural-language-processing7
python7
optimization7
deep-learning6
jpeg6
machine-learning6
Programming languages (3)
Github contributions (5)
junkyul/allenel
Apr 2019 - May 2019
Contributions:46 commits, 25 pushes, 4 branches in 27 days
junkyul/gmid
Oct 2018 - Feb 2020
graphical model inference algorithms for influence diagrams
Contributions:1 release, 2 PRs, 28 pushes in 1 year 4 months
diagramsinfluenceinference-algorithmsinfluence-diagramsinference
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