I build open source software and technology to support reliable high-frequency data collection from mobile and wearable sensors to enable sensor-triggered just-in-time adaptive interventions.
This is coupled with an analytics cloud designed to facilitate mobile health data analytics and interventions that enables population-scale model development, training, and evaluation. It brings state-of-the-art research techniques and methodologies together in a single system to affect clinical outcomes.
Disseration: A System for Tracking People in Homes for Smart Home Applications
University of VirginiaThesis: Software based deployment of encryption keys in wireless sensor networks.
University of LouisvilleMy research focused on indoor tracking and navigation systems, mobile health interventions, and body sensor systems.
University of Memphis