My research has emphasised application of routine data to improve knowledge and care of cardiovascular disease(CVD) and noncommunicable diseases(NCDs) through epidemiology, data science and integrated care.

During and since my DPhil, I learned the importance of routine care data, focusing on population-based CVD epidemiology, particularly comparison of incidence, risk factors and aetiology across arterial territories. My research has spanned atrial fibrillation, heart failure, peripheral arterial disease, aortic disease and comparison across CVDs.

At UCL, my clinical data science research programme has investigated quality improvement in CVD, electronic health record(EHR) phenotypes, natural history and comorbidities, health inequalities and machine learning for subphenotyping and risk prediction.