Sungtae Lee

Seoul, Korea, Republic of
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Summary

👤
Senior
Sungtae Lee is a co-founder and researcher with a decade of experience at the intersection of medicine, machine learning, and product experiments. Trained as an MD at Yonsei University, he has co-authored high-impact papers in Nature Biotechnology and Nature Methods and contributed to ML work presented at ICML and AAAI while interning in Honglak Lee’s lab at U. Michigan. He blends clinical insight with technical depth in reinforcement learning and counterfactual dynamics models, and has run real-world experiments ranging from interest-based group calls to AI simulation games. Based in Los Angeles, he brings a rare mix of biomedical research rigor and hands-on startup execution, positioning him to translate cutting-edge ML research into practical products.
code11 years of coding experience
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Github Skills (25)

neural-architecture-search8
keras8
rainbow7
automl7
quantile-regression7
automated-machine-learning7
python7
deep-learning6
tensorflow6
machine-learning6
puppeteer4
tensorflow-lite4
ddpg4
dqn3
deep-reinforcement-learning3

Programming languages (2)

PythonDart

Github contributions (5)

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Contributions:44 commits, 41 pushes, 1 branch in 2 years 10 months
Sungtae-Lee/homework

Jul 2015 - Jul 2015

Contributions:15 pushes, 1 branch in 1 day
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