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.

From 2013-2017, he and Dr. Bradley P. Carlin taught a one-week shortcourse providing a "Calculus free" introduction to Bayesian Analysis during the Summer Public Health Institute (PHI) at the University of Minnesota.  See the PHI website for future course offerings.

Dr. Quick will be teaching a one-week summer shortcourse, Introduction to Bayesian Analysis for Public and Urban Health, June 18-22, 2018, in conjunction with the Urban Health Collaborative at Drexel University.

Dr. Quick and his colleague, Dr. Tran Huynh, will be teaching a Professional Development Course (PDC), Bayesian Statistics for Analyzing Occupational Exposure Data Using "R", at the upcoming American Industrial Hygiene Conference and Exposition (AIHce) in Philadelphia.  More information regarding registration can be found here.