Asim H. Gazi

I am a postdoctoral fellow in computer science and statistics at Harvard University, advised by Susan A. Murphy. I completed my Ph.D. in electrical engineering in 2023 from the Georgia Institute of Technology, advised by Omer T. Inan and Christopher J. Rozell.

I’ll be returning to Georgia Tech as an assistant professor of biomedical engineering, starting in April 2027. My lab will have openings for PhD students and a postdoc starting in fall 2027 or later. Please feel free to reach out if interested.

My research is on what I call agentic wearables, intelligent systems that autonomously provide mobile health (mHealth) support – personalized to biobehavioral changes inferred from passive sensing (and survey) data (e.g., using your smartwatch). These precision health systems enable just-in-time support that adapts to the dynamics of daily life – support that is unaddressed by current healthcare delivery (e.g., therapy for just 1 hour per week). My contributions so far have centered around dynamic modeling and digital twin design, sensor informatics and state inference, and online decision-making algorithms to automatically address uncertainties in sensor-informed decision making that are especially prevalent in mHealth (e.g., corruptions of sensor data).

I am currently funded by a NIH K99/R00 Pathway to Independence Award from the National Institute of Biomedical Imaging and Bioengineering, which will fund the remainder of my postdoc and up to $747k over my first three years as an assistant professor. Previously, I was supported by Schmidt Sciences, in partnership with the Rhodes Trust, as one of 32 Schmidt Science Fellows selected from around the world in 2023. My PhD was funded by a National Science Foundation Graduate Research Fellowship.

Outside of research, I am a Pathfinder for Boston Partners in Education and the founder and owner of Internet of Tutors LLC.