Data assimilation
Data assimilation, also known as model data fusion, involves combining data and mathematical models to produce optimal predictions. Historically, developed within the context of weather prediction, data assimilation techniques are now being used in health applications, such as real time prediction of optimal treatment strategies.
Meet the team
Members
Professor David Lloyd
Professor in Mathematics, Deputy Head of School of Mathematics & Physics, Director of Learning and Teaching School of Mathematics & Physics
Professor Anne Skeldon
Professor of Mathematics
Associate members
Professor Deborah Dunn-Walters
Professor of Immunology, Lead for University Research Theme Lifelong Health
