Stanford University
Showing 30,601-30,620 of 35,003 Results
-
Nam Phuong Tran
Clinical Assistant Professor, Medicine
BioDr. Nam Phuong Tran is a Clinical Assistant Professor in the Division of Hospital Medicine. She earned her Doctor of Medicine degree from Drexel University College of Medicine in Philadelphia before returning to the Bay Area to complete her Internal Medicine residency at California Pacific Medical Center (CPMC) in San Francisco. Following residency, she was selected as the inaugural Clinical Research Fellow in Autoimmune Liver Diseases within CPMC's Division of Hepatology. Dr. Tran began her career as a hospitalist during the COVID-19 pandemic and has practiced in both community and academic healthcare settings. She joined the Stanford School of Medicine faculty in 2026 as a member of the Surgical Co-Management team, where she specializes in the management of complex medical conditions in patients undergoing surgery.
Her clinical and academic interests include chronic liver disease, metabolic dysfunction-associated steatotic liver disease (MASLD/MASH), clinical reasoning, and medical education. As an immigrant and the first physician in her family, Dr. Tran is also passionate about expanding access to medical education and healthcare career pathways for first-generation students. -
Nguyen K. Tran
LGBTQ+ Health Research Biostatistician/Epidemiologist, Obstetrics & Gynecology - General GYN
BioNguyen K. Tran (he/him), PhD, MPH is a social epidemiologist with The PRIDE Study at Stanford University School of Medicine. In his current role, he applies his training in epidemiology, data science, and causal inference to conduct and support community-engaged research that addresses the health priorities of LGBTQIA+ communities, with the goal of advancing health equity for these populations. Substantively, this work focuses on the social and structural influences on healthcare access, mental health, and infectious diseases. Methodologically, he is interested in epidemiologic and statistical approaches for reducing bias in observational research.
