Presented by Julian Wolfson, PhD
Associate Professor & Director of Graduate Studies
Division of Biostatistics
University of Minnesota School of Public Health
Modern technology has given us tools to accurately quantify a wide range of health-related biomarkers via genetic sequencing, imaging, and bio-assays. However, methods for quantifying human activity and behavior patterns mostly rely on much blunter data collection instruments. In this talk, I will summarize my involvement in a project aimed at modernizing the way we capture human activity and behavior data by collecting and processing smartphone sensor data. I will then describe ongoing research focused on answering questions such as: 1) How do we define activity and behavior patterns, and identify sets of individuals with similar patterns? 2) How do we predict future activity and behavior patterns? 3) How can we combine individual- and population-level data to make inference about individual patterns? and 4) How can activity and behavior data be combined with data from other sources to yield insights into human health?
All faculty, staff, and students welcome!