Asim Gazi is an assistant professor of biomedical engineering at the Georgia Institute of Technology. He completed his Ph.D. in electrical engineering at the Georgia Institute of Technology in 2023, advised by Omer Inan and Christopher Rozell, and funded by a National Science Foundation Graduate Research Fellowship. He then completed his postdoctoral fellowship in the Departments of Computer Science and Statistics at Harvard University, advised by Susan Murphy, and supported by a K99/R00 Pathway to Independence Award and by Schmidt Sciences, in partnership with the Rhodes Trust, as one of 32 Schmidt Science Fellows selected globally in 2023. Gazi's research is on "agentic wearables," intelligent systems that autonomously provide health support in daily life – personalized to biobehavioral changes inferred from wearable, mobile, and ubiquitous sensor (and survey) data. These AI-enabled precision health systems deliver just-in-time support that adapts to the dynamics of daily life – support that fills a critical gap in what clinical care can provide (e.g., therapy for just one of the 168 hours in a week).