Joseph Koopmeiners

Joseph Koopmeiners is a Mayo Professor and Division Head of the Division of Biostatistics & Health Data Science at the University of Minnesota School of Public Health. He serves as a Member of the Masonic Cancer Center and Scientific Co-director of the RapidEVAL Program within the Center for Learning Health Systems Sciences.

Education:

• PhD in Biostatistics, University of Washington (2009)
• MS in Biostatistics, University of Minnesota (2004)
• BA in Mathematics, St. John's University

Koopmeiners develops advanced statistical methods to improve cancer prevention, detection, and treatment through biomarker validation and Bayesian adaptive methods for clinical trials. His research bridges biostatistics with practical applications in oncology, tobacco control, and public health policy. He focuses on innovative trial designs including basket trials, group-sequential methods, and virtual twin approaches that enhance clinical research efficiency.

His recent publications demonstrate a strong trend toward adaptive clinical trial methodology, with significant contributions to Bayesian statistics, biomarker validation, and cancer research. Koopmeiners' work spans from fundamental statistical methodology to direct applications in cancer treatment, sepsis management, and tobacco regulation.

Awards:

• Delta Omega, Honorary Society in Public Health

Koopmeiners maintains active professional engagement through multiple research collaborations and leadership roles. As Division Head, he oversees biostatistical research and educational programs while directing the RapidEVAL Program focused on learning health systems. His methodological expertise supports numerous clinical trials and public health initiatives across cancer research and other medical domains.

His work connects statistical innovation with real-world health applications through the Masonic Cancer Center and Center for Learning Health Systems Sciences, where he contributes to translational research infrastructure.