Edison Thomaz

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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 S.M. in Media Arts and Sciences from the MIT Media Lab. Prior to his academic appointments, Dr. Thomaz held industry positions at leading technology companies such as Microsoft and France Telecom.


Extended Bio



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 S.M. in Media Arts and Sciences from the MIT Media Lab. Prior to his academic appointments, Dr. Thomaz held industry positions at leading technology companies such as Microsoft and France Telecom.

Dr. Thomaz's research is in Activiomics, a new discipline that applies computational methods towards sensing, recognizing and modeling the entire span of people's everyday life activities and context, from individual gestures to life patterns and routines. By enabling the measurement of human behaviors at a finely-grained level of detail and pairing them with bio-physiological signals obtained with environmental and wearable sensors, his work aims to provide a new technical foundation for applications and discoveries at the frontier of human health and behavior such as gene-environment interactions, predictive health from behavior markers, and personal health informatics.

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 dissertation work centered on the automatic detection of eating activities in real-world settings. Research communities Dr. Thomaz regularly contributes to include Mobile and Ubiquitous Computing, Activity Recognition, Machine Learning, and HCI.

Dr. Thomaz's work has been published and received awards in leading academic conference such as Ubicomp, ICMI, IUI, and CHI. Dr. Thomaz is affiliated with 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.



Research Assistant Professor
Dept. of Electrical and Computer Engineering
School of Information
The University of Texas at Austin

ethomaz at utexas dot edu
Twitter: @ethomaz

Offices: UTA 7.218/5.449
1616 Guadalupe Street
Austin, TX 78701