Harrison Quick, PhD

Assistant Professor of Biostatistics
Drexel University

Dr. Harrison Quick received his PhD from the Division of Biostatistics at the University of Minnesota in 2013, where his research focused on Bayesian methods for spatial and spatiotemporal data analysis.  After completing his graduate training, Dr. Quick served as a postdoctoral researcher at the University of Missouri, where he developed new methods for generating synthetic data for public use.  In particular, he applied his background in spatial data modeling to develop methods which would preserve the spatial dependence structure in the real data while simultaneously protecting the privacy of the data subjects.  Following his postdoctoral position, Dr. Quick joined the Small Area Analysis team in the CDC's Division of Heart Disease and Stroke Prevention, where he developed models for the analysis of multivariate spatiotemporal data.  In addition, Dr. Quick has conducted research related to the application of Bayesian methods for environmental health and occupational exposure assessment.

Each summer, he and Dr. Bradley P. Carlin teach a one-week shortcourse providing a "Calculus free" introduction to Bayesian Analysis during the Public Health Institute at the University of Minnesota.

Dr. Quick has also taught a one-week summer shortcourse, Introduction to Bayesian Analysis for Public and Urban Health, June 26-30, 2017, in conjunction with the Urban Health Collaborative at Drexel University.  For future shortcourse offerings, please check the UHC's events page.