Jiyoun Kim

Jiyoun Kim is a 4th-year PhD student at KAIST Graduate School of AI, working on machine learning for healthcare. Her research centers on patient electronic health records (EHRs), with the goal of making clinical AI trustworthy and useful. This spans benchmarks, clinical LLMs, federated learning, and synthetic data generation. She has been focusing on benchmarking and modeling clinical notes (e.g., discharge summaries, radiology reports) and tabular EHR data (e.g., lab tests, prescriptions, input events). She works closely with clinicians and nurses to understand the practical needs of AI in clinical settings and to get feedback that keeps my datasets and benchmarks grounded in real use.