PHT180 Distinguished Speaker Webinar: Temiloluwa Prioleau

Opportunities for using mobile technology and data science to transform healthcare

Speaker:
Temiloluwa Prioleau (https://sites.google.com/dartmouth.edu/t-prioleau)
Assistant Professor, Computer Science
Dartmouth College

Bio: Dr. Prioleau is an Assistant Professor in Computer Science at Dartmouth College. Her research focuses on the application of data science to human sensing and health; this includes developing and using mobile, wearable, and digital solutions to understand, monitor, and affect bio-behavioral factors that influence health. At Dartmouth, Dr. Prioleau co-directs the Augmented Health Lab (https://www.ah-lab.cs.dartmouth.edu) with a mission to improve health with pervasive technology. In addition, she is an affiliate of the Center for Technology and Behavioral Health (CTBH) (https://www.c4tbh.org)– an NIH-funded center comprised of interdisciplinary leaders in behavioral science and technology. She has received several awards including an NSF grant to develop a multimodal sensing system for improving diabetes management and an NSF RAPID grant focused on learning from the experiences of COVID-19 survivors. She received her Ph.D. in Electrical Engineering from Georgia Institute of Technology and completed her postdoctoral training at Rice University.

Mobile technology such as wearable devices and smartphones provide unique opportunities for continuous sensing of physiological signals, activities, behaviors, and context that influence health outcomes. However, full realization of the potential of mobile technology in various health domains is still a work-in-progress. In this talk, I will present ongoing project directions that seek to: 1) understand technology-relevant gaps in healthcare, 2) leverage data from mobile technology to quantify behavioral and contextual factors that affect health outcomes, and 3) develop data-driven solutions that increase the utility of mobile health data to support and inform clinical decision-making. Our interdisciplinary team combines knowledge and tools from human-centered design, mobile computing, and data science/machine learning to address grand challenges in healthcare. Current efforts have focused on diabetes management as a test-bed for developing and evaluating digital solutions applicable to other domains.

Please visit the PHT180 events page for more information. https://www.rit.edu/pht180/events