Researching language systems across domains, with a focus on biomedical & clinical NLP.

• Jul 2026Attended the ICML 2026 workshops in Seoul — AI for Science, Foundation Models for Structured Data, Culture × AI, and Generative Models in Biology.
• Apr 2026Our paper “An LLM-based Chain-of-Response Counter-Scam System” will appear at IJCAI 2026. arXiv ↗
• Nov 2025Presented “Culinary Class Wars: Evaluating LLMs Using ASH in Cuisine Transfer Task” at the CoGamy Workshop, IEEE ICDM 2025, Washington, D.C.
• Sep 2025Our KU-DMIS team achieved 1st place overall in the BioASQ 13b Phase B challenge (biomedical QA with exact answers); we received the award at CLEF 2025 in Madrid.
• Jun 2024Participated in the EHRSQL 2024 shared task on text-to-SQL over electronic health records as part of the KU-DMIS team (Clinical NLP Workshop @ NAACL 2024).

• Biomedical and Clinical NLP

  My current focus: NLP and LLM systems that reason over biomedical text, structured clinical data, and domain-specific knowledge to support scientific discovery and clinical decision-making.

• Reliable Domain-Specific LLM Systems

  Across domains, I study what it takes to turn a general-purpose language model into a system that can be trusted in a specialized setting.

• Previous Application Domains

  Before concentrating on biomedical NLP, I studied how NLP systems must be adapted and evaluated under the constraints of other specialized domains — each project shaped how I think about reliability, evaluation, and domain knowledge.

Korea University — dual-degree curriculum in Health and Environmental Science (radiological science) and Computer Science and Engineering, with an interdisciplinary major in Brain and Cognitive Sciences.

• Integrated M.S./Ph.D. in Computer Science and EngineeringMar 2023 – Present
• B.E. in Computer Science and Engineering (Dual Degree program)2022 – 2023
• B.S. in Health and Environmental Science2016 – 2023

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