Multimodal AI Researcher for Structured Evidence and Reliable Reasoning

I research how AI systems recover, organize, and audit evidence from heterogeneous unstructured observations, with a current focus on structure-aware evidence systems for documents and long-context reasoning.

I completed my B.S. in Computer Science and Engineering (advised by Prof. Jeongu Kim) and M.S. in Artificial Intelligence (advised by Prof. Hyuk-Chul Kwon) at Pusan National University, then joined the Human-Inspired AI Research Group at Korea University, co-advised by Prof. Jaehyung Seo and Prof. Heuiseok Lim.

There, I founded KUDoc — the Document AI research group at Korea University — on my own initiative, and this leadership earned me a promotion to Senior Researcher. I now lead and advise KUDoc, and together we have produced 12 top-tier conference papers — including 4 as first author at ACL, CVPR, and EMNLP — along with 5 patents, 4 major industry projects with 3 technology transfers, and 7 awards.

Looking ahead, I aim to extend this foundation toward structured memory, world models, and planning for future agents.

I am currently preparing for a Ph.D. program and am open to new opportunities. If my research directions resonate with yours, please feel free to reach out via email or LinkedIn — I would be glad to connect.