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). 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

Teaching

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)
• Annual Conference on Neural Information Processing Systems (Neurpis)
• The ACM Web Conference (International World Wide Web Conference, WWW)
• Information Fusion
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• Big Data Mining and Analytics (BDMA)
• Journal of Intelligent & Fuzzy Systems

Talks

• Feb. 2026 Invited talk at the Graph Interview hosted by the GuG .

International Journal & Conference Papers