I am an infectious disease epidemiologist specializing in mathematical and computational approaches for investigating epidemic dynamics. I lead the EpiModel Research Lab at Emory and collaborate on many research studies that develop infectious disease modeling methods and applications.
My methodological research focuses on the development of an open-source software platform for epidemic modeling, EpiModel, which allows users to build, simulate, and analyze complex mechanistic models for transmission of arbitrarily defined infectious disease systems. EpiModel provides a powerful toolkit for modeling dynamic contact networks that are often fundamental for representing transmission of diseases requiring direct contact. EpiModel has been used in over 50 scientific publications, both by my lab and modeling researchers around the world!
My applied research focuses on the epidemiology of HIV, sexually transmitted infections, and other infectious diseases. I am interested in the drivers of these diseases and optimal designs for prevention and control strategies. Recent applications have used models to simulate the co-circulation of multiple co-circulating pathogens within the same population, since the risk factors for acquiring one disease may depend on the epidemic dynamics of other infections transmitted along the same contact network.
More broadly, the work of my EpiModel Research Lab involves addressing these questions with research in the following: infectious disease epidemiology; mechanisitic modeling of infectious diseases; network science; decision analysis and health economics; survey research design and analysis; and computational epidemiology and scientific software development. I actively support and mentor PhD students, post-docs, and research staff who work with me in these areas.
Areas of Interest
- Disease Ecology
- Infectious Disease Dynamics
- Network Science
- No Publications listed