Events Calendar

YINS Distinguished Lecturer: Jukka-Pekka Onnela (Harvard)

YINS Distinguished Lecturer: Jukka-Pekka Onnela (Harvard)

Event time: 
Wednesday, November 15, 2017 - 12:00pm to 1:30pm
Location: 
Yale Institute for Network Science See map
17 Hillhouse Avenue, 3rd floor
New Haven, CT 06511
Event description: 

“Smartphone-based Digital Phenotyping”
 

Speaker: Jukka-Pekka “JP” Onnela
Associate Professor of Biostatistics in the Department of Biostatistics
Director of the Master’s Program in Health Data Science
Harvard T.H. Chan School of Public Health, Harvard University.
 
 
Abstract: 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 discuss the concept of digital phenotyping, introduce Beiwe, our research platform for high-throughput, smartphone-based digital phenotyping, and will share some results from our ongoing studies with various patient cohorts. 
 
Bio: Jukka-Pekka “JP” Onnela is Associate Professor of Biostatistics in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health, Harvard University. He is also the Director of the Master’s Program in Health Data Science, which launched in the fall of 2017. He obtained his doctorate in network science in Finland, and prior to starting his faculty position at Harvard in 2011, he completed a junior research fellowship at the University of Oxford, a Fulbright scholarship at Harvard Kennedy School, and a postdoctoral fellowship at Harvard Medical School. His main interest is in developing quantitative methods in two areas: statistical network science, the study of network representations of social and biological systems, and digital phenotyping, the moment-by-moment quantification of the individual-level human phenotype using smartphone data. He received NIH Director’s New Innovator Award in 2013.

.