• Adjunct Assistant Professor, Family And Preventive Medicine
  • Adjunct Assistant Professor, Mathematics
  • Research Assistant Professor, Internal Medicine
(801) 585-6186

Research Summary

Lindsay is an infectious disease epidemiologist interested in transmission dynamics. Her primary research interests involve developing and employing statistical and dynamical methods to address questions on the ecology and evolution of infectious diseases. In particular, she is interested in integrating models and data to prevent disease transmission and to mitigate harm to vulnerable populations.


  • BS, Zoology, University of Florida
  • BS , Mathematics, University of Florida
  • PhD , Biology, McMaster University. Project: Malaria Control: Insights from Mathematical Models
  • Postdoctoral Fellowship, Epidemiology, Johns Hopkins Bloomberg School of Public Health


Lindsay Keegan is a Research Assistant Professor in the Division of Epidemiology within the Department of Internal Medicine at the University of Utah. Currently, Lindsay is interested in understanding transmission dynamics of healthcare associated infections, in particulary, how to determine 'who infected whom'. Additionally, Lindsay has been working to develop and apply models of the COVID-19 pandemic to support public health decision-making at the state and hopital levels.

Previously, Lindsay was a postdoctoral fellow at the Johns Hopkins Bloomberg School of Public Health in the Infectious Disease Dynamics group under Dr. Justin Lessler. While at JHSPH, Lindsay's research included developing statistical techniques to predict dengue transmission in Thailand, developing hidden Markov models to understand susceptibility to dengue, and a comprehensive re-examination of the clinical and epidemiological aspects of diphtheria necessary to control the outbreaks occurring as a result of infrastructure failure and political unrest.

In 2015 Lindsay completed her PhD at McMaster University with Dr. Jonathan Dushoff, with a dissertation titled Malaria Control: Insights from Mathematical Models. Her doctoral work included developing analytic methods to characterize disease transmission in small populations and using dynamic models to identify areas in which malaria elimination is sustainable. Her undergraduate training was completed at the University of Florida where she earned a Bachelor's of Science in Zoology and a Bachelor's of Science in Mathematics.

In addition to her research interests, Lindsay is committed to improving reproducibility in science and promoting women in STEM fields.