Stanford University
Showing 31,201-31,250 of 35,700 Results
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Dat Tran
Masters Student in Statistics, admitted Autumn 2024
BioDat Tran is an M.S. Statistics/ Data Science student in the Stanford Statistics department. Prior to joining Stanford, Dat was a Data Scientist at Mobilewalla, where he was the co-author of Anovos, one of the most efficient PySpark open-source libraries for large-scale data, as well as multiple B2B Data Science solutions in Telecommunications, FinTech and Large Language Models (LLMs). Dat graduated Cum Laude with a bachelor's in Data Science at University of Texas at Dallas.
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Kenneth Tran, MD
Clinical Assistant Professor, Surgery - Vascular Surgery
BioDr. Tran is a vascular surgeon in the Vascular and Endovascular Surgery Division at Stanford Health Care. He is also a clinical assistant professor in the Department of Surgery, Division of Vascular Surgery at Stanford University School of Medicine.
Dr. Tran’s clinical expertise includes the entire spectrum of vascular surgery, including minimally invasive strategies for aortic aneurysm repair and multiple methods of managing peripheral vascular disease. He also specializes in treating cerebrovascular disease (problems with blood flow in the brain) using carotid angioplasty and stenting, transcarotid artery revascularization, and conventional carotid surgery. In addition, Dr. Tran offers comprehensive dialysis access management and treats venous reflux (when leg veins fail to return blood to the heart).
Dr. Tran has a special interest in minimally invasive techniques for repairing complex aortic conditions using custom stents placed inside blood vessels (endografts). He has expertise in designing, fabricating, and implanting physician-modified endografts tailor-made to each patient’s unique aortic anatomy. This technique expands the ability to offer minimally invasive repair to more patients.
Dr. Tran’s research efforts focus on utilizing novel computational approaches to better understand and optimize blood flow patterns after complex aortic repair. This work has helped improve the understanding of how different types of aneurysm repair perform long term. Dr. Tran hopes to use these research findings to improve clinical outcomes for patients with aortic aneurysmal disease.
Dr. Tran has published his work in numerous prestigious peer-reviewed journals, including the Journal of Vascular Surgery, JAMA Surgery, and the European Journal of Vascular and Endovascular Surgery. He has presented at the podium at numerous national and international conferences.
Dr. Tran has received multiple research awards, including the Vascular and Endovascular Surgery Society’s Medtronic Resident Research Award and Best Resident Presentation at the Swiss Society for Vascular Diseases. In addition, he received the Young Researcher Prize at the European Symposium on Vascular Biomaterials for his research related to complex aortic repair hemodynamics (blood flow). Dr. Tran also coauthored a chapter in the book Complications in Endovascular Surgery. -
Khang Tran, DO MBA
Fellow in Pediatrics - Gastroenterology
BioKansas City University of Medicine and Biosciences -- Doctor of Osteopathic Medicine and Master of Business Administration (2019)
Good Samaritan University Hospital Medical Center -- Pediatric Residency (2019 - 2022)
UCLA Mattel Children's Hospital -- Pediatric Gastroenterology Fellowship (2022 - 2025)
Dr. Tran is passionate about advancing care for children with complex inflammatory bowel disease. Clinically, he aims to deepen his expertise in immunology, gain hands-on experience with emerging therapies and diagnostics, and develop the leadership skills necessary to coordinate multidisciplinary IBD care
His research focuses on global medicine and health equity, particularly in expanding access to high-quality IBD care worldwide. He also has a strong interest in the discovery and validation of biomarkers and predictive models for treatment response to advanced therapies, with the ultimate goal of personalizing care for children with IBD.
Dr. Tran is very excited to contribute to Stanford’s innovative IBD program and to collaborate with clinicians and scientists who are shaping the future of pediatric IBD care. -
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.
