Cheol Cho
PHD Student at Berkeley Artificial Intelligence Research
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolCheol Cho is a PhD candidate in EECS at UC Berkeley researching the intersection of AI, cognitive neuroscience, and computational neuroscience to decode how the human mind emerges from the brain. Guided by advisors Jack Gallant and Gopala Anumanchipalli, he builds neuroscience-inspired machine learning models aimed at more robust, human-compatible AI. With a decade of research experience across top Korean institutions and Berkeley, he has developed tooling for animal tracking, decision-making models, and efficient ML pipelines. His background includes applied lab work and a stint in KATUSA where he earned an Army Commendation Medal, reflecting a blend of technical rigor and disciplined execution.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, BerkeleyBachelor of Science - BS, Computer Science and Engineering, Bachelor of Science - BS, Computer Science and Engineering at Seoul National University
Github Skills (16)
modeling9
decision-making9
hierarchical9
bayesian9
bayesian-methods8
probabilistic-models8
reinforcement-learning8
bayesian-inference7
bayesian-statistics7
tokenizer6
python6
speech5
self-supervised-learning5
nlp5
machine-learning4
Programming languages (1)
Github contributions (5)
CCS-Lab/project_model_based_fmri
Aug 2020 - Sep 2021
Contributions:644 commits, 85 pushes in 1 year
ANAAACK/ANAAACK.github.io
Aug 2020 - Aug 2020
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:127 pushes in 14 days
templategithub-pages-templatemmistakesmistakesjekyll
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