Modeling Core

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Project Summary - Modeling Core The Center for Viral Systems Biology (CViSB) collects and aggregates complex, multidimensional, and heterogeneous data, leading to challenges in interpreting these diverse experimental measurements. The Modeling Core’s primary goal is to develop and apply computational and statistical methods to elucidate key features of viral pathogens as well as host immune responses to infection and vaccination. Our approach will integrate data both within and across measurement modalities using data-driven mathematical tools to identify important host and virus factors, understand virus evolution and spread, and predict patient outcomes. We will disseminate our findings and tools, enabling CViSB as well as community researchers to perform similar analyses for a range of viral pathogens. To accomplish these objectives and support the overall mission of CViSB, we have the following four aims: (1) Build models to predict disease outcomes using data-driven latent variable models; (2) Develop methods to study host-pathogen dynamics by integrating heterogeneous data; (3) Construct methods for large-scale analysis of evolutionary dynamics; (4) Integrate social, environmental, and virus factors into models to understand virus variant spread; and (5) Provide broad analysis support for CViSB and the SysBio community.