Stanford University
Showing 23,281-23,300 of 35,010 Results
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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.
