Emily  Peterson

My research falls at the intersection of Bayesian hierarchical measurement error models, spatial epidemiological mapping, and population dynamics. My primary research focus/expertise is in the development and application of Bayesian hierarchical measurement error models for analyzing public health data that is spatially and temporally structured to account for correlated data errors and uncertainty within an estimation framework. I fuse Bayesian hierarchical estimation methods with data science methods to produce data-driven estimation machines for use by public health analysts. In my work, I collaborate with academics and public health professionals within Emory, at other academic institutions, at the CDC, USCB, and other federal and local agencies.