Dr. Dash is an assistant professor in the Department of Emergency Medicine at Stanford University School of Medicine. He received fellowship training in clinical informatics at Stanford Health Care. He earned a Master of Public Health (MPH) degree from Harvard University. His research interests include computer vision and natural language processing. He is also interested in quality assurance and quality improvement in digital health initiatives. Other research projects of Dr. Dash include development of an image classification algorithm that helps predict hypoxic outcomes. He also worked on the development of a hardware and software system designed to provide real-time feedback about cardiac function at the patient’s bedside. Dr. Dash was vice president of the American Medical Informatics Association Clinical Fellows while completing his fellowship. He was also a post-doctoral research fellow at the Stanford University Center for Artificial Intelligence in Medicine & Imaging. He is a member of the American College of Emergency Physicians and American Academy of Emergency Medicine. He speaks English and Oriya fluently. He also speaks, reads, and writes Japanese and Spanish. His interests outside of patient care include piano, computer programming, sustainable energy projects, and cooking multi-course East Asian meals.