James Hay is a research fellow at the Pandemic Sciences Institute at the University of Oxford funded through a Wellcome Trust Early Career Award. His expertise is in infectious disease epidemiology and mathematical modelling, with a particular interest in using pathogen and host biomarker data (e.g., serology) to understand and track the dynamics of infectious diseases. His publications, review history and awards are listed on Google Scholar and ORCID.

James completed his PhD at Imperial College in 2019 and spent three years as a postdoc at the Harvard Chan School of Public Health. Before that, his undergraduate degree was in Natural Sciences (Zoology) at the University of Cambridge, followed by an MSc in Computing Science at Imperial College.

I’m always happy to talk about infectious disease dynamics (influenza is my favourite pathogen), serology, viral kinetics, inference methods, hiking, squash… or anything else! Feel free to get in touch at james.hay@ndm.ox.ac.uk.

Latest news

• 2024-12-07: Check out our new review article in Epidemics giving a full primer and overview of modelling methods for estimating infections and epidemic dynamics using serological data. With Saki Takahashi at JHU and Isobel Routledge at UCSF.
• 2024-11-07: Reconstructed influenza A/H3N2 infection histories using multistrain serology, paper out in PLOS Biology! We inferred lifetime infections and antibody levels for 1130 individuals in Guangzhou, China, giving insights into long-term influenza incidence and immunity. Bsky thread here.