Faculty
Sangwoo Mo
Assistant Professor, POSTECH IME (affiliated with AI, AX, and IDS)
{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)
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.
Appointments
Faculty positions
- POSTECH, Assistant Professor 2025 – present
Research positions
- U Michigan, Postdoctoral Fellow (host: Prof. Stella X. Yu) 2023 – 2025
- NVIDIA AI, Research Intern (host: Dr. Weili Nie) 2022 Winter
- Meta AI, Research Intern (host: Dr. Jong-Chyi Su) 2022 Summer
- Naver AI, Collaborator (host: Dr. Jung-Woo Ha) 2021 Summer
- Google AI, Collaborator (host: Dr. Kihyuk Sohn) 2020 Winter
- Kakao Brain, Research Intern (host: Dr. Sungwoong Kim) 2019 Spring
Education
- KAIST, MS/PhD in Electrical Engineering (advisor: Prof. Jinwoo Shin) PhD thesis: Learning Visual Representations from Uncurated Data 2023
- POSTECH, BS in Mathematics & Industrial Engineering (minor), summa cum laude Visiting student: UC Berkeley, Peking University 2016
Services
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
Reviewer
- Conference: NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, COLM, etc.
- Journal: TPAMI, TMLR, TNNLS, IJCV, etc.
Honors & Awards
During PhD
- Bronze Prize, Samsung Humantech Paper Awards (₩5M) 2019
- Qualcomm Innovation Fellowship Korea (₩4M) 2020
- Qualcomm Innovation Fellowship Korea (₩4M) 2021
- Best Paper Award, Korean AI Association Fall Conference (₩2M) 2022