Rice University, Postdoctoral Fellow
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Abstract
Digital SMD – Digital Behavioral Markers for Improved Self-Management of Diabetes
According to the Center of Disease Control (CDC), 30.3 million people (9.4%) in the United States live with the chronic condition of diabetes on a daily basis. Meanwhile, more than twice the size of the affected population is at an increased risk of type 2 diabetes (T2D); a mostly ‘preventable’ condition. This research aims to leverage mobile and wearable technology to study data-driven research questions that can inform improved self-management of diabetes. The primary hypothesis is that objective digital data from daily living can improve self-management of existing conditions and lifestyle interventions to prevent and reduce high-risk cases. Near-term research questions include: 1) individual- and population-studies to inform personalized goal setting in diabetes management, and 2) algorithmic prediction of behavioral markers relevant to improved self-management.
Bio
Dr. Temiloluwa Prioleau is a Rice Academy Postdoctoral Fellow working in the Scalable Health Laboratory. Her research expertise is in the area of ‘Bio-behavioral Sensing’ with the aim to develop novel sensors for ubiquitous monitoring of physiological and behavioral markers relevant to monitoring, predict, and improve human health. She received her B.S. in Electrical and Computer Engineering from The University of Texas at Austin in December 2010. Following that, she worked in industry for one year before pursuing an advanced degree. She obtained her M.S. and Ph.D. also in Electrical and Computer Engineering, both from Georgia Institute of Technology. Her Ph.D. research work focused on bio-signal processing in wearable technology for sensor-based dietary monitoring toward management of obesity and diabetes.