I am Youngjin Park, an M.S. student in Artificial Intelligence at DGIST (Daegu Gyeongbuk Institute of Science and Technology), where I am a member of the Intelligent Systems and Learning Lab.

I received my B.S. degree in Computer Engineering from the School of Undergraduate Studies at DGIST. During my undergraduate years, I gained research experience in applying artificial intelligence across diverse domains, including human-computer interaction, bio-imaging, and other interdisciplinary applications. These experiences shaped my interest in building AI systems that are not only technically capable, but also useful, adaptive, and applicable to real-world problems.

My current research interests lie in Physical AI, Multimodal AI, and robot learning. In particular, I am interested in foundation models for robotics, such as vision-language-action models, and in AI systems that can connect perception, language, planning, and interaction. More broadly, I aim to study intelligent systems that can understand and act in the physical world, interact with humans and environments, and eventually become practical tools that help people across many domains in everyday life.

I am always open to research discussions, collaborations, and co-working opportunities with people who share related interests.

Education

• M.S. Student in Artificial Intelligence, DGIST, 2026 - 2028
• Visiting Student, University of California, Berkeley, Summer 2023
• B.S. in Computer Engineering, DGIST, 2020 - 2026

Internship

• Research Intern, Massachusetts General Hospital, Harvard Medical School (Advisor: Prof. Kyungwook Kenneth Jee) June 2025 - August 2025
• Research Intern, Intelligent Imaging and Vision Systems Laboratory, DGIST (Advisor: Prof. Inkyu Moon) July 2024 - January 2025

Publications

• Youngjin Park*, Hyunjin Lim*, and Daehee Park. “Sequential Grouping Enables Efficient Test-Time Alignment for Closed-Loop LLM-based Motion Planning” Preprint, 2026.