Sarah is an associate professor in the Department of Ecology & Evolution at the University of Chicago.
Phil is building models that integrate epidemiological and molecular data to infer how infection history, vaccination, and influenza epitope diversity influence protection against influenza infection.
Katie studies the epidemiological impacts of childhood immune imprinting, and the within-host dynamics that allow biases in immune memory to develop and persist. She also aims to understand why our immune system isn’t better at deploying broadly protective antibodies against multi-strain pathogens.
Lauren studies how the mechanisms and dynamics of affinity maturation in the adaptive immune system affect the diversity of individuals' antibody repertoires.
Rachel studies the development of immune protection to influenza using individual-level data from a longitudinal cohort study. She is generally interested in understanding drivers of inter-annual variation in disease dynamics.
Diana studied viral evolution across scales and how it is impacted by immune selection during her Ph.D. at Duke University. She is interested in the impact of immune history, particularly antibody response, on vaccine efficacy and influenza reinfection driven by antigenic drift.
Marcos moved to the University of Chicago for his PhD studies after completing his Master's in Ecology & Evolution (Universidade Federal de Goiás) and his BS (Universidade Federal do Ceará) in Biology in Brazil. He's currently interested in the coevolutionary dynamics of pathogens and antibody repertoires, and his background interests include ecological networks and a bit of evolutionary behavioral ecology.
Elena is a fourth-year undergraduate student at UChicago studying Biology with a specialization in quantitative biology. She is particularly interested in the modeling of infectious diseases and is planning to pursue an MD/PhD in this field upon graduation.
Dannie is a 4th year undergraduate student at UChicago majoring in Global Studies. She is looking at the relationship between human movement and COVID patterns.