Network Science Institute: Smartphone-based Digital Phenotyping
Title: Smartphone-based Digital Phenotyping
Speaker: Jukka-Pekka "JP" Onnela, Associate Professor/Department of Biostatistics Harvard T.H. Chan School of Public Health Harvard University
Location: 177 Huntington Avenue, 11th Floor, Boston, Massachusetts 02115
Recent advances in biomedicine and technology are beginning to change the priority in biomedical research towards phenotyping, which refers to the collection and analysis of various traits of organisms, such as their anatomy, enzyme activity, and behavior. Many investigators have promoted the role of large-scale phenotyping as the natural complement to genome sequencing as a route to advances in biomedical sciences, but behavior continues to present special challenges to phenomics because of its temporal nature and context dependence. We believe that the ubiquity and capability of smartphones to collect social and behavioral data can contribute to the phenotyping challenge via objective measurement, especially in neuropsychiatric conditions. We have previously defined digital phenotyping as the “moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices,” in particular smartphones. I will introduce Beiwe, our research platform for high-throughput, smartphone-based digital phenotyping, and I will share some results from our ongoing studies with various patient cohorts. Finally, I will discuss some of the statistical and computational methods that we have developed for making sense of the collected data.
About the Speaker
Onnela earned his International Baccalaureate from the United World College of the Atlantic. He earned his M.Sc. in computational science from the Helsinki University of Technology (now Aalto University) in 2002. He obtained his D.Sc. there in network science in 2006, and his doctoral dissertation, titled Complex Networks in the Study of Financial and Social Systems, received dissertation of the year award from the university. He subsequently spent two years at the University of Oxford as a Junior Research Fellow, a year at the Harvard Kennedy School as a Fulbright Visiting Scholar, and two years as a Postdoctoral Fellow at Harvard Medical School. Onnela joined the Harvard T.H. Chan School of Public Health at Harvard University in 2011 as Assistant Professor of Biostatistics, where he runs a research group that focuses on statistical network science and digital phenotyping, where his group has defined the latter as the “moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices,” in particular smartphones. He was awarded a U.S. National Institutes of Health (NIH) Director’s New Innovator Award in 2013 for his work in digital phenotyping. His lab has developed the Beiwe platform for high-throughput smartphone-based digital phenotyping.
Friday, December 8, 2017 at 3:30pm
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