Emily Peterson

Research Assistant Professor
Department of Biostatistics and Bioinformatics
Emily Peterson

Bio

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.  

Areas of Interest

  • Disease Surveillance
  • Global Health
  • Rural Health
  • Statistical Modeling
  • Biostatistics
  • Ecology
  • Demography and Environmental Sciences
  • Environmental Health
  • Epidemiology
  • Health Disparities
  • Spatial Analysis/GIS
  • Women’s Health
  • Data Science
  • Bayesian Analysis
  • Social Determinants of Health

Education

  • Ph.D. in Biostatistics, University of Massachusetts Amherst
  • M.S. in Biostatistics, Vanderbilt University,
  • M.S. in Public Health Sciences, Penn State University
  • B.S. in Psychology, Davidson College

Courses Taught

  • BIOS 526 - Modern Regression Analysis

Affiliations

Associations: 

  • Member of the American Statical Association
  • Member of Population Association of America
  • Member of the Diversity, Equity, and Inclusion Committee

Invited Sessions

  • Population Association of America
  • Eastern North America Region
  • Small Area Estimation
  • Joint Statistical Meeting
  • Center for Disease Control
  • United States Census Bureau