Asim H Gazi
Biography
Dr. Asim Gazi is an assistant professor of biomedical engineering at Georgia Tech and Emory University. He completed his PhD in electrical engineering at Georgia Tech in 2023, advised by Dr. Omer Inan and Dr. 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 Dr. 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.
Education
- Postdoctoral Fellowship in Computer Science, 2027 - Harvard University
- Ph.D. in Electrical Engineering, 2023 - Georgia Institute of Technology
- B.S. in Electrical Engineering, 2018 - The University of Texas at Dallas
Research Interests
Dr. 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).
His group focuses on (1) dynamic modeling and digital twin design to predict and elucidate the effects of interventions (e.g., non-invasive vagus nerve stimulation) and evaluate intelligent systems in silico prior to deployment; (2) machine learning and sensor informatics to infer and track the dynamics of latent states (e.g., acute stress) using passive sensing data; and (3) online learning and decision making (e.g., via reinforcement learning) to adapt and personalize support, recognizing the many sources of uncertainty that must be accounted for to intervene intelligently.