Anthony Webster

I joined Oxford University’s Cancer Epidemiology Unit (CEU) in 2016, where I gained experience of medical statistics and epidemiology using data from the Million Women Study. In 2019 I was awarded a 3-year fellowship from the Nuffield Department of Population Health (NDPH) for research to use machine learning and advanced statistical methods to find new links between diseases using UK Biobank data. This allowed me to develop novel statistical methods for the analysis of large, complex datasets, and included developing bespoke R codes to characterise and cluster diseases. These combined and adapted the best of existing statistical theory, including longitudinal survival analysis modelling and multivariate statistics. A key next step in this work is to combine it with genetic studies and causal modelling, and in 2022 I was fortunate to be able to join the Lindgren Group as a Statistical Geneticist.

Anthony joined the Nuffield Department of Population Health after completing an M.Sc. in Applied Statistics at the University of Oxford during 2015-2016, changing career from Physics to Statistics. In addition to his statistical/epidemiological research, he has tutored  Oxford’s Part B Statistical Lifetime Models course, the Communicating Risks and Benefits for Oxford's medical students, and co-wrote the Global Health, Principles of Data Science R practical. Anthony's previous research includes theoretical and statistical studies of plasma stability, and a Ph.D. with Prof. Mike Cates that studied the ageing and stability of emulsions and foams.