My focus is on statistical methodology for the analysis of observational data, such as arising from patient registries and electronic health records, with a particular emphasis on causal inference methods and methods for analysis of time-to-event data. I am also involved in a number of areas of applied health research. I am especially interested in research in cystic fibrosis, and have worked for a number of years with data from national cystic fibrosis registries to gain insight into survival and the impacts of different treatments in cystic fibrosis. Other areas of applied work include cancer, organ transplantation, Covid-19, and kidney disease.

I am also interested in and have undertaken research in a number of other areas of statistical methodology including: methods for handling measurement error; methods for handling missing data; design and analysis of case-control studies.

I am funded by a UK Research and Innovation Future Leaders Fellowship (2019-2026) for a project entitled: "Evaluating effects of complex treatments in chronic disease using large observational datasets: From population to person".