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David Kim

Assistant Professor of Emergency Medicine (Adult Clinical/Academic) and, by courtesy, of Biomedical Data Science

Contact Info
Mail Code: 5768
davidak@stanford.edu

Diana Kim

Senior Faculty Affairs Administrator, Psychiatry and Behavioral Sciences

Contact Info
Mail Code: 5717
- (650) 498-0566 (office)
dianakim@stanford.edu

Dohui Kim

Postdoctoral Scholar, Materials Science and Engineering

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Mail Code: 4045
dohuikim@stanford.edu

Dohyun K Kim

Undergraduate, Urban Studies

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Mail Code: 3064
dkvkim@stanford.edu

Dongeon Kim

Instructor, Medicine - Pulmonary, Allergy & Critical Care Medicine

Contact Info
Mail Code: 5236
harrykim@stanford.edu

BioI am a physician with specialized training in gastroenterology and hepatology. My research primarily focuses on clinical research of metabolic dysfunction-associated steatotic liver disease (MASLD), chronic liver diseases, and obesity-related gastrointestinal diseases, focusing on a population-based study. In addition, my research has expanded to encompass areas such as cardiology, endocrinology, neurology, and psychiatry. I have extensive experience in large epidemiologic cohort studies as well as clinical trials. This work has resulted in over 250 published papers in prominent journals, including Gastroenterology, Journal of Hepatology, Gut, Hepatology, and Clinical Gastroenterology and Hepatology, serving as the first and corresponding author. These publications have been cited more than 18,000 times.

Contact Info
Mail Code: 5729
- (650) 497-9261 (office)

Donghoon Kim

Postdoctoral Scholar, Radiology

BioDr. Donghoon Kim is a postdoctoral scholar at Stanford’s Center for Advanced Functional Neuroimaging (CAFN), working in close collaboration with the Stanford Alzheimer’s Disease Research Center (ADRC). His work develops cutting-edge deep learning approaches for multimodal neuroimaging analysis, with an emphasis on the early detection and characterization of Alzheimer’s disease pathology.

Before joining Stanford, he earned his Ph.D. in Biomedical Engineering from the University of California, Davis. His Ph.D. thesis was titled "Deep Learning-Driven Technical Developments and Clinical Applications of Arterial Spin Labeling MRI." During his Ph.D. studies, he focused on the development of advanced deep learning techniques for ASL MRI and its clinical applications. During his master's degree in Biomedical Engineering at Virginia Tech–Wake Forest University, he studied the functional connectivity of the default mode network using resting-state BOLD fMRI among youth football players.