Geonwoo Cho
Doctoral Student at UC Berkeley School of Public Health
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolGeonwoo Cho is a doctoral student and machine learning engineer with a decade of hands-on experience building ML systems and conducting reinforcement learning research across academia and industry. He focuses on foundational models for decision-making and the theory behind them, bringing recent sim-to-real RL work from UC Berkeley and research experience at Gwangju Institute of Science and Technology. Geonwoo has applied ML in product settings at HYPERCONNECT, Typed, and Algorima, bridging research rigor with production realities. Based in Seoul and entering a PhD program at the University of Michigan, he combines strong mathematical training from UC Berkeley with practical engineering instincts. An inquisitive collaborator who maintains a personal homepage (geonwoo.me), he blends curiosity-driven exploration with a track record of shipping ML solutions.
10 years of coding experience
5 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at University of California, BerkeleyBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Gwangju Institute of Science and TechnologyKorea Science Academy of KAIST
Github Skills (1)
nodejs4
Programming languages (1)
Github contributions (5)
Khark/KharkLab
Aug 2019 - Sep 2019
:fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire:
Contributions:48 commits, 44 pushes, 1 branch in 1 month
nodejsfire
Khark/joy
Apr 2022 - Aug 2022
Contributions:54 pushes, 1 branch in 4 months
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