Email: [email protected]

Address: #905, Engineering Hall D, 50 Yonsei-ro, Seoul 03722, Korea

https://scholar.google.com/citations?user=gAPd7OIAAAAJ&hl=ko

https://orcid.org/0009-0001-5930-9892

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I am an AI researcher specializing in Graph and Language Models. I hold a Ph.D. in Industrial Engineering from Yonsei University, where my research focused on integrating graph-structured knowledge with large language models. I also hold a Bachelor’s degree in Theology and Computer Science from Yonsei University, and have pursued additional studies in Theology at Sungkonghoe University (Anglican Church University in Korea) and in English Language and Literature at Korea National Open University. My research interests include graph-augmented large language models, neuro-symbolic reasoning, and the use of AI for sign language translation and generation.

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Education

Doctor of Philosophy (Ph.D.), Industrial Engineering, Yonsei University

• Dissetation: Integrating Graph-Structured Knowledge into Large Language Models: Methods for Knowledge Graph Learning and Retrieval Augmented Generation
• Advisor: Wooju Kim

Bachelor of Theology (B.T.) with Double Major in Computer Science, Yonsei University

• Graduated magna cum laude in the Department of Theology
• GPA: 4.07 / 4.30

Job Experience

Postdoctoral Researcher, Institute of Engineering Research, Yonsei University (Sep. 2025 – Present)

• Conducting research on graph-augmented large language models
• Analyzing industrial knowledge information and knowledge mining

Intern, LG AI Research (Feb. 2023 – Aug. 2023)

• Studying on Integrating Knowledge Graph and Large Language Models
• Developing Structural Knowledge Injection (SKI) Framework
• Participating in AI Ethics group

Lecture

Soongsil University

• 2025-1 Intelligent System (지능형 시스템, 21505347)
  • Taught two 3-credit sections; achieved perfect teaching evaluation scores in both sections.

Yonsei University

• 2026-1 UT-Seminar: Principles of Large Language Models and Their Applications

Academic Service

Reviewer

• International Conference on Machine Learning (ICML)
• International Conference on Learning Representations (ICLR)
• The ACM Web Conference (International World Wide Web Conference, WWW)
• International Conference on Knowledge Discovery and Data Mining (SIGKDD)
• Information Fusion
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• Big Data Mining and Analytics (BDMA)
• Journal of Intelligent & Fuzzy Systems

International Journal & Conference Papers

How Do Self-Referential LLM Loops Contract Political Diversity?

ICML 2026 Under Review