Junmo Kim
Postdoctoral Scholar, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University.
Hello! My name is Junmo Kim, and I'm a Postdoctoral Scholar in the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University, advised by Prof. Nima Aghaeepour. I received my Ph.D. in Bioengineering from Seoul National University, where I actively worked under the supervision of Prof. Kwangsoo Kim. I obtained my Bachelor's degree in Industrial Management Engineering and Mathematics from Korea University.
I am interested in leveraging electronic health records and diverse types of medical data through artificial intelligence, to prevent disease progression, alleviate medical workforce shortages, and reduce healthcare expenditures.
I have experienced various types of medical data, specifically electronic health records (EHRs), including OMOP Common Data Model (CDM) and Clinical Data Warehouse (CDW), and physiological signal data, such as electrocardiogram (ECG).
My current research topics of interest include, but are not limited to, the following:
- Large Multimodal Electronic Health Records Foundation Models
- Discovering new clinical and biological knowledge through AI
- Enhancing generalizability of medical AI models through OMOP CDM
News
| Mar 10, 2026 | Our paper on MedRep for general EHR foundation models was published in Journal of the American Medical Informatics Association. |
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| Mar 4, 2026 | Our paper on an EHR foundation model for antiobiotic-associated cutaneous adverse drug reaction (CADR) prediction was published in npj Digital Medicine. |
| Dec 16, 2025 |
I successfully defended my Ph.D. dissertation. Dissertation title: Toward Multimodal Electronic Health Record Foundation Models |
| Aug 26, 2025 | MedRep and its graph-free version with DeBERTa weights pretrained with OMOP concept descriptions were released. |
| June 13, 2025 | Our paper on an EHR foundation model for adverse drug event prediction was published in Communications Medicine. |