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.

Our paper is featured in Nature Communications special collection on Complexity Research!

Our paper, with Qixin as lead author, was selected by Nature Communications' editors for the special collection on complexity research. https://www.nature.com/collections/ycjylwzvmz/ecoandevo  

Mauricio defended his thesis!

Today Mauricio defended his PhD thesis! With 7 publications in top journals like Science and Nature Ecology and Evolution, Mauricio's PhD was incredibly productive and provided important insights into spatio-temporal patterns and dynamics of disease transmission in...

Shai wins 2nd place in NetSci2018’s best talk pitch

Shai will be presenting his research on ecological multilayer networks at NetSci2018 in Paris. As part of the Young Investigator Awards, his video pitch for the talk won the second place! See more about his research...

A new paper on identifying signatures of immune selection in populations of Plasmodium falciparum

Qixin's paper "Networks of genetic similarity reveal non-neutral processes shape strain structure in Plasmodium falciparum" is now published in Nature Communications. In the paper we use network theory to identify signatures of immune selection in Plasmodium...

Incidence Prediction for the 2017-2018 Influenza Season in the United States

Xiangjun and Mercedes have published a prediction for the incidence of Infleunza inthe US for the 2017-2018 Influenza Season. The prediction is now published in PLoS Current Outbreaks. Using methodology developed in their recent paper in Science Advances, their model...
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