Dr. Edison Thomaz is a Research Assistant Professor in the Electrical and Computer Engineering department of The University of Texas at Austin, with an appointment in the School of Information. He holds a Ph.D. in Human-Centered Computing from the School of Interactive Computing of the Georgia Institute of Technology, and a Sc.M. degree from MIT. Prior to his academic appointments, Dr. Thomaz held industry positions at leading technology companies such as Microsoft and France Telecom.
Dr. Thomaz's research focuses on the sensing, recognition, modeling and prediction of everyday human life activities in service of health and well-being applications. His work combines technical approaches from Ubicomp, HCI, Machine Learning, and Signal Processing. Over the last decade, Dr. Thomaz has developed new human-centered approaches for collecting, visualizing and analyzing activity-centered sensor data using commodity devices. His work has been published and received awards in leading academic conference such as Ubicomp, ICMI, IUI, and CHI. Dr. Thomaz is currently an active member of the NIH-funded Center of Excellence for Mobile Sensor Data-to-Knowledge (http://md2k.org) and a leading researcher in the emerging field of personal health informatics. His work has been featured in numerous publications such as MIT Tech Review, The Houston Chronicle, and The Wall Street Journal.