Garrett Ash, PhD

Dr. Garrett Ash is a biomedical informatics researcher and exercise physiologist whose work develops the analytic infrastructure necessary to translate wearable and patient-generated health data into rigorous science and improved clinical care. He holds joint appointments in General Internal Medicine and Biomedical Informatics and Data Science at Yale School of Medicine, with a concurrent appointment as a Research Health Scientist at VA Connecticut Healthcare System.

Dr. Ash's research program integrates behavioral science, diabetes technology, and computational methods to address a foundational problem in digital health: how to make data from continuous glucose monitors, insulin pumps, and wearable activity sensors analytically tractable, clinically meaningful, and reusable across studies. His federally funded research portfolio spans NIDDK, VA, and foundation mechanisms, including an active K01 career development award and multiple R01 applications under review. Recent collaborations have produced co-authored work in Cell on AI-based digital phenotyping from wearables, in JAMA Network Open on a wearable-supported behavioral randomized trial, and in Human Factors in Healthcare on integrated visualization of patient-generated health data.

A defining theme of Dr. Ash's career has been leadership in standards development for digital health data. He authored the first international consensus standard for wearable devices in sport and exercise medicine (Sports Medicine, 2021) and currently contributes to standards-setting bodies including the IEEE working group on sport tracking technologies, the International Society for Pediatric and Adolescent Diabetes Clinical Practice Guidelines, the editorial board of the Journal of Diabetes Science and Technology, and the Sports Tech Research Network Quality Assessment Framework. He also serves on NIH and VA study sections.

Dr. Ash trained in chemistry at Swarthmore College, in athletic performance science at the University of Oxford (MSc), and in exercise physiology at the University of Connecticut (PhD). His postdoctoral training at Yale spanned nursing, psychiatry, and biomedical informatics.