Sangwoo Mo
Assistant Professor
POSTECH IME (affiliated with AI, AX, and IDS)
Email: {first_name}.{last_name} [at] postech.ac.kr
Office: Science Building 4, Room 319
Tel: +82-54-279-2202
Google Scholar / GitHub / CV / X (Twitter)
Assistant Professor
POSTECH IME (affiliated with AI, AX, and IDS)
Email: {first_name}.{last_name} [at] postech.ac.kr
Office: Science Building 4, Room 319
Tel: +82-54-279-2202
Google Scholar / GitHub / CV / X (Twitter)
The latest information is on the lab website.
Bio. Sangwoo Mo is an Assistant Professor of Industrial and Management Engineering at POSTECH, where he leads the MOAI Lab. His research focuses on multimodal foundation models for vision, language, and robotics, with a particular interest in scalable priors that improve their performance, reliability, and interpretability. His work has appeared at leading ML venues such as NeurIPS, ICML, and ICLR. He received his PhD from KAIST under the supervision of Prof. Jinwoo Shin and subsequently held a postdoctoral fellowship at the University of Michigan with Prof. Stella X. Yu. He has collaborated with teams at Google, Meta, and NVIDIA. His honors include the Qualcomm Innovation Fellowship and the Samsung Humantech Paper Award.
Faculty positions
▪︎ POSTECH, Assistant Professor / 2025 – present (Korea)
Research positions
▪︎ U Michigan, Postdoctoral Fellow (host: Prof. Stella X. Yu) / 2023 – 2025 (US)
▪︎ NVIDIA AI, Research Intern (host: Dr. Weili Nie) / 2022 Winter (US, remote)
▪︎ Meta AI, Research Intern (host: Dr. Jong-Chyi Su) / 2022 Summer (US)
▪︎ Naver AI, Collaborator (host: Dr. Jung-Woo Ha) / 2021 Summer (Korea)
▪︎ Google AI, Collaborator (host: Dr. Kihyuk Sohn) / 2020 Winter (US, remote)
▪︎ Kakao Brain, Research Intern (host: Dr. Sungwoong Kim) / 2019 Spring (Korea)
▪︎ KAIST, MS/PhD in Electrical Engineering, 2023 (advisor: Prof. Jinwoo Shin)
- PhD thesis: Learning Visual Representations from Uncurated Data
▪︎ POSTECH, BS in Mathematics & Industrial Engineering (minor), 2016, summa cum laude
▪︎ Senior Committee (AC, Editor):
- Area Chair, ICLR 2027
▪︎ Workshop Organizer:
- Structural Priors for Vision (SP4V), ICCV'25
- Pixel-level Vision Foundation Models (PixFoundation), CVPR'25
- Virtual Humans for Robotics and Autonomous Driving (POETS), CVPR'24
▪︎ Conference Reviewer: NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, COLM, etc.
▪︎ Journal Reviewer: TPAMI, TMLR, TNNLS, IJCV, etc.