Harrison Quick, PhD

Assistant Professor, Department of Epidemiology and Biostatistics, Dornsife School of Public Health

Harrison Quick conducts methodological research – developing models for spatial data analysis and investigating the risk of disclosure associated with the release of public-use data – and applies these methods to address a wide range of public health issues that impact health in cities, such as the relationship between alcohol outlet density and crime in the neighborhoods of Minneapolis and describing changes in the geographic trends in heart disease and stroke mortality. As an affiliate of the Urban Health Collaborative, Dr. Quick aims to teach how Bayesian modeling is well-suited for analyzing limited spatial data and tackling complex data structures in urban health research.  He has a special interest in supporting urban health research at DSPH, particularly related to investigating data at the neighborhood- and Census tract-level where the observed data alone may not be sufficient for reliable inference.

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