Welcome to the lab for Modeling and Theory in Ecology and Epidemiology
We study the complexity underlying the ecology and evolution of infectious diseases.
Our work relies on a variety of extensive data sets, from long time series of disease incidence that span decades, to large ecological networks, to molecular (sequence) data on pathogens. The disease work involves international collaborations with public health and research partners around the world. On the theoretical front, we use mathematical models together with computational and statistical approaches to bridge the gap between data and models.
Our research
Our research addresses the Ecology and Evolution of infectious diseases.
Host-pathogen systems are paradigmatic and fascinating examples of complex adaptive systems. They combine the challenges of nonlinear dynamics, large number of interactions between diverse components, and changing conditions because of evolution or environmental changes. Questions on how to model these systems and at what scales, how to make inferences from large but incomplete data sets, how to predict and alter the course of their dynamics, are central at this time of increased contact between natural and built-in environments, increased human movement, and rapid environmental changes. Our work relies on a variety of extensive data sets, from long time series of disease incidence that span decades, to large ecological networks, to molecular (sequence) data on pathogens. The disease work involves international collaborations with public health and research partners around the world. On the theoretical front, we use mathematical models together with computational and statistical approaches to bridge the gap between data and models.
See more at out RESEARCH and PUBLICATIONS sections.