Harrison Quick

Harrison Quick serves as an Associate Professor in the Division of Biostatistics & Health Data Science within the School of Public Health at the University of Minnesota, where his work bridges advanced statistical methodology with critical public health applications.

Education:

• PhD in Biostatistics, University of Minnesota (2013)
• MS in Biostatistics, University of Minnesota (2010)
• BS in Mathematics and Statistics, Minnesota State University, Mankato (2008)

Dr. Quick specializes in Bayesian approaches for spatial and spatiotemporal data analysis, with significant contributions to data privacy frameworks and statistical disclosure limitation techniques. His research actively addresses geographic and racial/ethnic health disparities through collaborations with federal, state, and local health departments, developing methods to expand public health data access while rigorously protecting individual privacy. In pedagogy, he excels at translating complex Bayesian inference and spatial statistics concepts for students across diverse statistical proficiency levels.

Scientific Awards:

• Outstanding Mentor Award (2020) from the SPH Mentor Program, University of Minnesota School of Public Health

Recognized for exceptional mentorship, Dr. Quick demonstrates deep commitment to nurturing the next generation of biostatisticians and health data scientists through structured guidance and collaborative research opportunities.