- Analyzing how CXR representations (raw images vs. radiology reports) affects post-ICU mortality prediction combined with discharge notes.
- Currently under review
- Conducted research on implicit harmonization for tabular clinical data, aiming to harmonize heterogeneous cohorts while preserving cohort-specific signals for downstream prediction tasks.
- AOP-grounded mechanistic toxicity reasoning to validate LLM predictions and curb hallucinations.
- Published at ACL 2026 Findings:
“ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway.”
- Studying early detection of Alzheimer’s disease using real-world Korean patient speech and interview transcripts.
- Developed LLM-based aspect-oriented summarization pipelines for 30-day psychiatric readmission prediction using multi-hospital EHR data.
- Published at EMNLP 2025:
“Aspect-Oriented Summarization for Psychiatric Short-Term Readmission Prediction.”
- Improving biomedical generative entity linking via preference optimization with negative samples to handle ambiguous mentions more robustly.
- Published at ACL 2025 Findings:
“Learning from Negative Samples in Biomedical Generative Entity Linking.”
- Code: GitHub; checkpoints: Hugging Face.
- Exploring retrieval-augmented generation workflows where domain experts iteratively refine biomedical hypotheses with LLM assistance.
- Fine-tuning LLMs to provide guideline-grounded explanations for diabetes care as part of a broader precision-medicine platform.
- Developing an open-source Korean LLM that explains cultural heritage sites in faithful, accessible language for non-experts.