- Publications: 'What MLLMs Learn When They Learn Multimodal Reasoning: Perception, Reasoning, or Integration?' and several other papers
- Involved in multiple research projects such as 'Learning to Point Visual Tokens for Multimodal Grounded Reasoning'
Research Experience
- Research Scientist Intern, Microsoft Research, AI Frontiers, Redmond, U.S., Summer 2025
- Research Scientist Intern, LG AI Research, AML, Seoul, South Korea, Summer 2024
- Research Scientist Intern, Naver, Foundational Research, Seongnam, South Korea, Summer 2023
Education
- Ph.D. Student, Yonsei University, Mar. 2024 - Present, Advisor: Seon Joo Kim
- M.Sc. Student, Seoul National University, Mar. 2020 - Feb. 2023, Advisor: Gunhee Kim
Background
Ph.D. candidate at Yonsei University CIP Lab, currently advised by Professor Seon Joo Kim. Research interests center on multimodal understanding and generation, particularly Multimodal Large Language Models (MLLMs). Exploring how images and text can be more effectively connected in AI systems, spanning both architectural innovations and evaluative methodologies.