We study how the host adaptive immune response coevolves with pathogens, especially in ways relevant to epidemiological and evolutionary forecasting, vaccine design, and pathogen diversity. Our work is computational, and we collaborate closely with immunologists and epidemiologists.
We have been awarded a 5-year cooperative agreement from NIH to develop Computational Models of Adaptive Immunity to Influenza with a large team of collaborators.
Jan. 23, 2025
Welcome to Graham Northrup, who is joining the lab for his postdoc. Graham will be working on computational models of vaccine responses.
Nov. 1, 2024
Immune history shapes human antibody responses to H5N1 influenza viruses in Nature Medicine (in press) (2025)
Measures of population immunity can predict the dominant clade of influenza A (H3N2) in the 2017–2018 season and reveal age-associated differences in susceptibility and antibody-binding specificity in Influenza and Other Respiratory Viruses (2024)
Predicting pathogen mutual invasibility and co-circulation in Science (2024)
High-throughput sequencing-based neutralization assay reveals how repeated vaccinations impact titers to recent human H1N1 influenza strains in Journal of Virology (2024)