Dr. Healey is a Senior Research Scientist at Intel Corporation leading efforts in Human Behavior Modelling. For the past twenty years she has been on the forefront of wearable physiological modelling, beginning with her doctoral work at the MIT Media Lab in Affective Computing. After leaving MIT, Dr. Healey joined Harvard Medical School as an Instructor in Translational Medicine, working at Beth Israel Deaconess Medical Center where she served on the IRB and where her research was sponsored by the PhysioNet initiative (www.physionet.org). Dr. Healey was hired into industry to develop commercial wearable devices for both cardiac and general physiological monitoring. Her research contributed to multiple spin-off products including the wearable sensing platform, shimmer (www.shimmersensing.org), and the Intel/GE Health Guide (www.careinnovations.com). Her current research efforts are focused on what we can learn automatically about people from cell phone and smart watch data, so that people can gain insights into habits and activities that may be causing them stress.
Dr. Healey has worked on multiple aspects of wireless sensing and communication including inter-vehicle communication and tiered secure communication for the IoT. Her TED talk on “If cars could talk, accidents might be avoidable” had had over 700,000 views and has been replayed at conferences on automotive safety and been referenced in standards meetings deciding the next generation of wireless protocols. Her center stage keynote on future IOT architectures at CEBIT has been influential in defining a strategy of tiered local cloud computing across the industry.
Dr. Healey has served as a member of the organizing committee and technical program committee of the International Conference on Wearable Computing (ISWC) for over 12 years, and has contributed to multiple other IEEE and ACM conferences and journals. Her paper with Rosalind Picard the IEEE Transactions on Intelligent Transportation Systems Journal with recently won their ten year impact award. Her work has been covered by major media outlets throughout the world including: the New York Times, Wired, Time, U.S. News and World Report, NPR, and TechCrunch.