My methodological skills in epidemiology, biostatistics, public health and cardiovascular medicine have led to collaborations across traditional disciplines. In a programme grant from the European Union (Big Data@Heart), I am leading a work package to improve definitions of heart failure, atrial fibrillation and acute coronary syndromes using informatics approaches, including electronic health record phenotypes and machine learning. In a project grant from the European Research Council (REWARD), I am testing the feasibility of health impact assessment of new drugs using big data. Using UK primary care data, I am currently considering adherence to simple drugs (e.g. aspirin, beta-blockers, anti-hypertensives and statins) in acute cardiovascular disease in order to understand the scale of non-adherence in the UK and to improve the modelling and calculation of the “real world” impact of drugs. Funded by the NIHR, I am investigating burden of cardiovascular disease in homeless individuals and potential for improving healthcare delivery in this difficult-to-reach population. Whether as a collaborator in the Global Burden of Disease study, or in my population-based research in India, I am interested in comparison of risk factors, prognosis and health services for cardiovascular disease in different countries to guide quality improvement.