Assistant Professor at Pohang University of Science and Technology
Ann Arbor, Michigan, South Korea
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Summary
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Senior
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Top School
Sangwoo Mo is an assistant professor at POSTECH and an AI researcher with a decade of experience building scalable priors for perception, generation, language, and robotics. He completed a PhD in machine learning at KAIST, was a postdoc at the University of Michigan, and has collaborated with industry leaders including Google, Meta, NVIDIA, Naver, and Kakao on projects spanning self-supervision, diffusion representations, and video generation. His work focuses on embedding structural and statistical inductive biases—like scene structure and dataset uncertainty—into models to boost performance, robustness, and interpretability across complex tasks. Supported by fellowships from Samsung, Qualcomm, and the Korean AI Association, he has a consistent publication record at top venues (NeurIPS, ICLR, CVPR) including cross-domain systems such as OACon, CAST, DIGAN, and HOMER. Based in Ann Arbor and soon leading a lab at POSTECH, he combines deep theoretical insight with practical collaborations that translate priors into deployable advances.
10 years of coding experience
Visiting student, Visiting student at University of California, Berkeley
Visiting student, Visiting student at Peking University
Bachelor of Science (BS), Mathematics & Industrial engineering (minor), Bachelor of Science (BS), Mathematics & Industrial engineering (minor) at Pohang University of Science and Technology
Graduated one year earlier with honor, Graduated one year earlier with honor at Hansung Science High School
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Korea Advanced Institute of Science and Technology
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Sangwoo Mo - Assistant Professor at Pohang University of Science and Technology