Natalie Kupperman is an applied sports science researcher and certified athletic trainer. She studies the use of biometrics, wearables, and other athlete monitoring methods to reduce injury risk and optimize athletic performance.
Prior to joining the School of Data Science faculty in 2022, Kupperman was a Ph.D. student in the Department of Kinesiology at the University of Virginia where she did research in the Exercise and Sport Injury Lab and athletics with the men’s basketball team and women’s volleyball team. Before her doctoral studies, she spent seven years at Northwestern University working clinically as an athletic trainer in Athletics and the University Health Service.
In combination with teaching, Kupperman’s research interests include data infrastructure and pipelines for collaboration in athlete monitoring, dynamic models of injury risk and athlete readiness, and creating seamless monitoring environments for sports teams. A few of her research papers include, “Global positioning system–derived workload metrics and injury risk in team-based field sports: A systematic review” and “Quantification of workload and wellness measures in a women’s collegiate volleyball season.”
Kupperman holds a Ph.D. in Education-Kinesiology/Sports Medicine and an M.Ed. in Athletic Training from the University of Virginia and a B.S. in Athletic Training from the University of Wisconsin-La Crosse.