Our work sits at the intersection of disease ecology, mathematical epidemiology, network science and data science, with applications in public health, veterinary medicine and wildlife conservation. The lab's current focus is on addressing these knowledge gaps:

  • How do we measure the structure of behavioral interactions that underlie disease transmission?
  • What role do social behavior and social structure play on disease risk and dynamics?
  • How do we leverage knowledge of socio-demographic and behavioral processes for the design of infectious disease surveillance and control policy?
Below, are some of our recent research threads:


  • Rohani Lab, University of Georgia
  • Haran Lab, Penn State University
  • Hudson Lab, Penn State University
  • Hughes Lab, Penn State University
  • Hanks Lab, Penn State University
  • Mann Lab, Georgetown
  • Colizza Lab, INSERM
  • Viboud Lab, NIH
  • Grenfell Lab, Princeton


  • National Institutes of Health
  • National Science Foundation
  • Department of Homeland Security
  • Georgetown Massive Data Institute
  • Georgetown Environment Intiative

Human infections: towards a mechanistic understanding and control

Livestock and wildlife infections: contact dynamics and containment

Network epidemiology: models and algorithms