Seong Oh
Professor at Korea Advanced Institute of Science and Technology
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolSeong Oh is a professor and independent group leader specializing in Scalable Trustworthy AI, with a decade of experience building explainable, robust, and probabilistic ML models that prioritize human supervision and cost-effective guidance. He completed a PhD at the Max Planck Institute for Informatics focused on privacy and security in computer vision and machine learning, followed by research roles at LINE, NAVER (as technical lead), and a Google internship. At the University of Tübingen he founded the STAI group and later joined KAIST as faculty, bridging academic rigor with industry collaboration through advisory work for Parameter Lab and partnerships with Naver. His training as a Cambridge mathematician (MMath, Wrangler) underpins a principled, quantitative approach to model reliability and uncertainty. Notably, he blends theoretical depth with applied impact—translating privacy- and robustness-focused research into practical tools for large-scale AI deployments. Based in Seoul, he continues to push trustworthy-AI research toward real-world, scalable solutions.
10 years of coding experience
3 years of employment as a software developer
BA/MMath, Mathematics, BA/MMath, Mathematics at University of CambridgeHigh School Diploma, High School Diploma at Hankuk Academy of Foreign Studies
Korean, English, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (49)
generative-adversarial-network10
semi-supervised-learning10
localization10
google-colaboratory10
generative-model10
weakly-supervised-learning10
evaluation9
precision-recall9
text-recognition9
coverage9
recall9
generative9
ocr-recognition9
scene-text9
rosetta9
Programming languages (6)
Github contributions (5)
coallaoh/coallaoh.github.io
Jun 2019 - Feb 2025
Contributions:141 pushes, 2 branches in 5 years 9 months
naver-ai/calm
Jun 2021 - Jun 2022
Contributions:3 commits, 3 pushes, 1 branch in 11 months
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