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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute for Electrical Engineering Joint Seminar Series on Cyber-Physical Systems
Mon, Nov 28, 2016 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Luca Foschini , Co-founder and Chief Data Scientist, Evidation Health
Talk Title: Learn Health (from Your Wrist)
Abstract: Wearable technologies have seen a tremendous development in recent years: step and calorie counters have long made their way to our phones and watches, and new consumer-grade sensors can now measure a breadth of physiological functions that until recently could only be found in the monitoring equipment of intensive care units. However, despite the undisputed short-term benefits due to the user increased awareness, quantifying the potential value of wearable technologies in improving longer-term health outcomes remains an open question. In this talk we will present evidence that activity tracking data contains a wealth of information that is predictive of metrics directly related to health outcomes, ranging from medication adherence to lifestyle. To this end, we will show how machine learning tools need to be adapted to take full advantage of densely sampled, multi-variate time series of tracker data. Finally, we will reflect on how the predictive power of wearable data can be harnessed to inform behavior change interventions, and how expertise in computer science, clinical medicine, and behavioral psychology will have to join forces to overcome obstacles in adoption, user engagement, and regulations.
Biography: As Co-founder and Chief Data Scientist at Evidation Health, Luca Foschini PhD is responsible for data analytics, computing, research and development. Dr. Foschini has driven research collaborations with machine learning experts at MIT, behavioral economics departments at Harvard Business School and the Wharton School. Prior to his role at Evidation, Dr. Foschini held research positions in industry and academic institutions, including Ask.com, Google, ETH Zurich, and UC Santa Barbara. He has published numerous papers and co-authored several patents on efficient algorithms for partitioning and detecting anomalies in massive networks.Dr. Foschini is an alumnus of the Sant'Anna School of Pisa, Italy.
Host: Pierluigi Nuzzo
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Estela Lopez
