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Debadutta (Dev) Dash is a Clinical Assistant Professor in the Department of Emergency Medicine at Stanford University School of Medicine. He is an emergency medicine physician providing care at Stanford Health Care, a level 1 trauma center. Dr. Dash completed his fellowship training in clinical informatics at Stanford Health Care and holds a Master of Public Health degree from Harvard University. His research interests encompass computer vision and natural language processing, focusing on quality assurance and improvement in digital health initiatives. Notably, he has developed an image classification algorithm that helps predict hypoxic outcomes and has worked on a hardware-software system to provide real-time feedback on cardiac function at the patient’s bedside. Dr. Dash is a vice president of the American Medical Informatics Association Clinical Fellows and a post-doctoral research fellow at the Stanford University Center for Artificial Intelligence Medicine & Imaging. He is a member of the American College of Emergency Physicians and the American Academy of Emergency Medicine.
Stanford University Department of Emergency Medicine • Stanford, CA
Serving as a Clinical Assistant Professor and providing instruction in emergency medicine.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.