Joe Koopmeiners

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

Education:

• Ph.D. in Biostatistics, University of Washington (2009)
• M.S. in Biostatistics, University of Minnesota (2004)
• B.A. in Mathematics, Saint John's University (2004)

Koopmeiners specializes in developing advanced statistical methodologies for cancer research and clinical trials. His work focuses on cancer prevention, detection, and treatment optimization, particularly through biomarker validation and Bayesian adaptive methods. His research has significant applications in public health and health data science.

His publications demonstrate expertise in clinical trial design, cancer epidemiology, and biostatistical modeling, with recent work on adaptive allocation in sepsis trials, oncolytic virus therapy for osteosarcoma, and virtual twins methodology for personalized medicine.

Awards and Recognitions:

• Delta Omega Honorary Society in Public Health

Professional Memberships:

• American Statistical Association
• International Biometrics Society
• Society for Clinical Trials