I am a fourth-year Ph.D. student in the Department of Computer Science at the University of Illinois at Chicago, advised by Prof. Philip S. Yu, and a member of the Big Data and Social Computing Lab.

My research interests lie in large language models (LLMs), LLM agents, and recommender systems. I’ve been working on developing LLM-driven recommendation frameworks that incorporate reasoning, knowledge modeling, and generation, with the goal of enhancing the flexibility and intelligence of recommendation systems.

I am also collaborating with W.W. Grainger, Inc. on retrieval-augmented generation for large-scale industrial product search.

For details on my research and publications, see my Curriculum Vitae (PDF).

I earned my M.S. in Computer Science at the University of Texas at Dallas, where I worked on domain-specific pre-trained language models under Prof. Latifur Khan (see Master's Thesis).

I also hold an M.S. and B.S. in Industrial Engineering from Sungkyunkwan University, where I discovered my passion for data mining and recommender systems under Prof. Mye Sohn’s supervision. During that time, I completed the AI Program at the Language Technologies Institute at Carnegie Mellon University.