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 find that strong immune memory biases may make influenza, SARS-CoV-2, and other pathogens more likely to diversify, in contrast to prevailing theory that ignores these biases.
Jan. 5, 2024
We find that measuring neutralizing antibodies at the population level can help predict which clade of influenza will dominate and which age groups will be infected.
Oct. 27, 2023
Preliminary findings from the Dynamics of the Immune Responses to Repeat Influenza Vaccination Exposures (DRIVE I) Study: a Randomized Controlled Trial in medRxiv (2024)
A speed limit on serial strain replacement from original antigenic sin in Proceedings of the National Academy of Sciences (in press) (2024)
Reduced effectiveness of repeat influenza vaccination: distinguishing among within-season waning, recent clinical infection, and subclinical infection in The Journal of Infectious Diseases (in press) (2024)
A unified theory for predicting pathogen mutual invasibility and co-circulation in bioRxiv (2024)