Our team develops statistical methods and analytical tools to help people make sense of data. Building on close collaborative relationships with public health practitioners from across the world -- from Denver to San Juan to Bangkok -- we use modern statistical and machine learning tools to gain insights into complex disease systems.

We build software packages, maintain code repositories, develop databases, create interactive data visualizations, and run computationally intensive simulation studies. Depending on the project, we code using mix of R, python, javascript, d3, C, and C++.

Check out our work on GitHub.

Our team develops models for understanding complex and dynamic systems of infectious disease. We have developed real-time forecasts of dengue fever in Thailand, estimated the duration of cross-protection between serotypes of dengue, and predicted the trajectory of the flu season in the US.