Natalie Kupperman

Natalie Kupperman is an Assistant Professor of Data Science at the School of Data Science, University of Virginia, where she integrates data science with sports medicine and athletic performance. Her work focuses on biometrics, wearable technologies, and athlete monitoring systems to reduce injury risk and enhance readiness.

Education:

• Ph.D. in Education-Kinesiology/Sports Medicine, University of Virginia
• M.Ed. in Athletic Training, University of Virginia
• B.S. in Athletic Training, University of Wisconsin-La Crosse

Her research lies at the intersection of data science and sports health, emphasizing dynamic models of injury risk, data pipelines for collaboration, and seamless integration of monitoring tools in team environments. She leverages real-world athlete data to develop scalable and actionable insights for performance optimization.

Her publications highlight trends in quantifying athletic workload and wellness, particularly in team sports like volleyball and field-based athletics. These works contribute to the growing field of data-driven sports science, focusing on injury prevention and performance tracking using GPS and subjective metrics.

Scientific Awards:

• No awards listed in the provided text.

While specific grants and advisees are not mentioned, her academic role suggests involvement in mentoring students and securing research funding. Her prior clinical experience at Northwestern University and research in the Exercise and Sport Injury Lab at UVA inform her interdisciplinary approach. She maintains an active research presence with professional profiles on Google Scholar and ORCID.

Labs & Research Environment:

She previously conducted research in the Exercise and Sport Injury Lab at the University of Virginia and collaborated with the men’s basketball and women’s volleyball teams. Her current work emphasizes building data infrastructure for collaborative athlete monitoring across sports teams.