My human-centric research spans the domains of ubiquitous computing, data science, and pervasive health technologies. I am particularly interested in using mobile sensing and data-driven approaches to support health and well-being. In particular, my research is the first to advance a vision for “Circadian Computing” — technologies that support and adapt to our innate biological rhythms.
Almost every biological process follows a roughly 24-hour rhythm known as a circadian rhythm. Living against our body clocks can have grave consequences for physical and mental well-being with an increased risk for cancer, diabetes, cardiovascular disease, and mental illness. Moreover, these issues are reaching an epidemic level — a significant fraction of the global population persistently live against their innate rhythms.
In my work, I have developed methods for passively assessing body clock patterns, detecting the effects of disruptions using behavioral and contextual data, and designing tools to maintain healthy rhythms. I have applied these methods across a diverse set of domains: sleep, cognitive performance, creativity, and serious mental illness including bipolar disorder and schizophrenia. Take a look at the projects I am working on.
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