Ian Hall is a reader of mathematical statistics at the University of Manchester. He gained his PhD at the University of Exeter in vortex dynamics, and subsequently worked for 15 years at Public Health England (PHE). In PHE he lead a mathematical modelling team planning for emergency responses to emerging infectious disease outbreaks. This included developing inferential tools to infer infection hazard area from early cases and planning for outbreaks such as smallpox and pandemic influenza. He is a member of the Department of Health's scientific pandemic influenza modelling subgroup (SPI-M).
His Turing related research involves an interest in understanding population movement at a range of scales, operational research to support outbreak mitigation strategies and real time modelling during outbreaks to forecast future case numbers.