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 co-Director of the Master’s Program in Health Data Science, one of the three data science programs at Harvard University. He obtained his doctorate in network science in Finland, and his doctoral dissertation received the Dissertation of the Year Award from the university (Helsinki University of Technology). 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 and digital phenotyping. He is a pioneer in the field of digital phenotyping, a term he has coined as the moment-by-moment quantification of the individual-level human phenotype using data from personal digital devices, especially smartphones. He received a 2013 NIH Director’s New Innovator Award for his digital phenotyping project. He runs the Onnela Lab at the Harvard T.H. Chan School of Public Health, a dynamic group of students, postdoctoral fellows and affiliated researchers who are pioneering new methods in both statistical network science and digital phenotyping. Outside of work, he enjoys music, reading, cooking, and physical exercise.