Stanford University
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David J. Park, MD, PhD, FCNS
Clinical Assistant Professor, Neurosurgery
Current Research and Scholarly InterestsOur research ecosystem bridges clinical outcomes, translational organoids, and surgical intelligence:
(1) A Clinical Neuro-Oncology Dry Lab investigating outcomes and trials for CyberKnife radiosurgery and minimally invasive brain tumor surgery,
(2) A Radiosurgical Organoids Wet Lab modeling radiobiology, radiomodulators, and genetics, and
(3) A MedTech Innovation Lab at VA Palo Alto developing intraoperative digital twins, surgical video analytics, and optical navigation, etc. -
Jon Park, MD, FRCSC
Saunders Family Professor
Current Research and Scholarly InterestsNon-fusion dynamic spinal stabilization, artificial disc technologies, and regenerative spinal technologies.
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Jun Hyung Park
Research and Development Science and Engineer 1, Rad/Molecular Imaging Program at Stanford
Current Role at StanfordI joined in Stanford Cyclotron and Radiochemistry Facility in 2014. I focus on routine radiopharmaceutical production, development, optimization for clinical use and supporting various of pre-clinical studies.
18F tracers; 18F-Flumazenil, 18F-FTC-146, 18F-FLT, 18F MISO, 18F AraG, 18F-FSPG etc.
11C tracers; 11C UCB-J, 11C-raclopride, 11C-PIB, 11C-methionine, 11C DPA-713, 11C MGX10, 11, 11C-CN radiochemistry platform development
15O tracers; 15O-H2O, 15O gas Inhalation study
68Ga tracers; 68Ga-DOTATATE, 68Ga-PSMA
Quality Controls; HPLC, GC, TCD GC etc. -
Junyoung Park
Postdoctoral Scholar, Neurology and Neurological Sciences
BioDr. Jun Young graduated from the Department of Biostatistics at the School of Public Health, Seoul National University, Korea. His major field of study is biostatistics, with a specific focus on the application of machine learning and statistical analysis to medical imaging and genetic data. During his doctoral studies, he concentrated on two primary research areas. Firstly, he dedicated himself to the development of deep learning models for medical images, primarily centered on T1-MRI and cognitive function test images related to Alzheimer's Disease. Secondly, he engaged in extensive genome-wide association analyses of medical images associated with Alzheimer's Disease, using statistical algorithms to uncover novel insights into the genetic factors contributing to this complex condition. Currently, as a postdoctoral fellow at the Greicius Lab at Stanford, he aims to develop statistical methods to discover novel structural variants and model polygenetic risk scores using long-read sequencing data.
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KT Park MD MS
Adjunct Professor, Medicine - Med/Gastroenterology and Hepatology
BioPrior to joining Genentech in 2018, Dr. Park was Associate Professor at Stanford University School of Medicine, Co-Director of the IBD Center at Stanford Children’s Health, and an expert in Crohn’s disease and ulcerative colitis. Currently, he is the Global Head of Gastroenterology, Hepatology & Metabolism in Product Development at Genentech and Roche. Trained as a health economist, during his tenure in academia, Dr Park held research grants and funding support focused on the cost-effectiveness of biologic treatment strategies and novel non-invasive biomarkers for children and adults with IBD. He led national research registries at the Crohn’s & Colitis Foundation and scientific/clinical committees in numerous GI societies and physicians’ organizations. He received his BA in chemistry/biochemistry at Duke University, MD at University of Tennessee, and MSc in Health Economics/Policy at Stanford where he completed his clinical and postdoctoral trainings. He is Adjunct Professor of Medicine in the Division of Gastroenterology & Hepatology at Stanford University. At Genentech Roche, Dr. Park directs a team of clinical scientists and medical directors overseeing clinical phase drug development in gastroenterology, hepatology, and metabolism.
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Namu Park
Postdoctoral Scholar, Biomedical Informatics
BioDr. Park is a Postdoctoral Scholar at the Division of Computational Medicine at Stanford University, where he is co-advised by Dr. Tina Hernandez-Boussard and Dr. Yair Bannet. He received his PhD in Biomedical and Health Informatics from the University of Washington.
His research focuses on clinical natural language processing and large language models for healthcare. He develops clinically grounded information extraction methods and evaluation frameworks that reflect real-world clinical workflows. His work examines how large language models can be aligned with clinical reasoning and rigorously evaluated for safe and effective deployment in health systems.
Through interdisciplinary collaboration, Dr. Park aims to bridge advances in foundation models with measurable clinical impact, emphasizing reliability, transparency, and scalability in AI-driven healthcare applications.
