I am an Epidemiologist based within the Precision Breast Cancer Institute, Department of Oncology at the University of Cambridge.

At present my work utilises next-generation sequencing data alongside bioinformatic approaches to obtain insights in the aetiology and prognosis of breast cancer. This includes applying techniques such as Mendelian randomization to prioritise therapeutic targets and inform clinical or public health decision making.

More widely, I have an interest in individual participant data meta-analysis, the use of electronic health records in medical research, the application and integration of various “-omic” technologies (e.g. metabolomics, proteomics, phenomics), machine learning and modelling of longitudinal data.