applications of machine learning that use sensor data from ubiquitous technologies like smartphones and smartwatches to enable proactive healthcare
About
I am an Associate Professor in the Department of Computer Science at the University of Toronto. I run the Computational Health and Interaction (CHAI) lab, which leverages ubiquitous technologies like smartphones and wearables to address problems related to people’s health. Using sensor data collected from momentary assessments or passive recordings, I employ signal processing and machine learning to generate digital biomarkers related to a person's physiology, context, and behavior. My work also spans other topics at the intersection of ubiquitous computing and human-computer interaction such as mobile interaction, user-centered design, and novel sensing techniques. You can find more about my research group at this website: https://chai.cs.toronto.edu/
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