I am a Ph.D. candidate in the Graduate School of Artificial Intelligence at KAIST, advised by Prof. Kijung Shin (Data Mining Lab). My research lies at the intersection of graph mining, machine learning on graphs, and data-driven systems, with a long-standing focus on higher-order networks (hypergraphs), which capture group interactions beyond pairwise relations.

My work has spanned scalable hypergraph analysis and generative modeling, as well as hypergraph neural networks. I have published at venues such as KDD, WWW, ICDM, IJCAI, and TKDD.

Recently, I have been expanding my research toward knowledge graphs, large language models, and multi-agent systems. My current work includes temporal knowledge graph question answering benchmarks, scientific knowledge extraction and QA over research literature, and multi-agent approaches to automating knowledge-intensive tasks.