About Me

I am a Ph.D. student in the Department of Statistics and Data Science at Yonsei University, advised by Prof. Kyungwoo Song. My research interests lie in understanding the fundamental limitations of state-of-the-art AI systems and developing principled approaches to overcome them from diverse perspectives, including self-evolving AI, causal representation learning, and domain generalization.

Publications

I have published in leading conferences and journals, including ICML, NeurIPS, UAI, NAACL, ECAI, KDD and EMNLP. My research focuses on Transformer architectures, causal representation learning, out-of-distribution generalization, metric learning, and multimodal AI applications.

In addition, I have recently developed a strong interest in causal representation learning and its integration with Large Language Models (LLMs) to address various challenges (LLM safety analysis and enhancement, and efficient and robust finetuning, etc.).

Education

• Yonsei University, Korea – Ph.D. in Statistics and Data Science (2024–Present)
• University of Seoul, Korea – M.S. in Artificial Intelligence (2022–2024)
• Pukyong National University, Korea – B.S. in Electrical and Semiconductor Engineering (2014–2021)