My work with the Breast Cancer Association Consortium resulted in two papers quantifying the breast cancer risks associated with protein truncating variants and missense variants in breast cancer susceptibility genes. Currently, I am working on pedigree analysis that includes family history of breast cancer information from the study participants. The aim of my work is to refine and improve the risk estimates for the breast cancer genes such that they can be used in risk models in the clinical setting, to predict an individual’s risk of breast cancer and/or their probability of carrying a risk-increasing genetic variant. One example of this application to the clinical setting is the CanRisk prediction tool. Recently, I have become involved in the wider CanRisk programme, with the goal of aiding/advising the statistical analysis for the MyCanRisk project. Alongside my research role, I supervise students and assist teaching on the MPhil in Population Health Science.