Profile
I am a statistician with an academic background in statistics (Hong Kong Baptist University) and a PhD in Computer Science with big data time-series analysis for high throughput multielectrode array data (University of Warwick).
Before joining QMUL, I worked as Lecturer/Associate Professor in Biostatistics/Medical Statistics at University of Leeds. I have worked on many longitudinal cohorts (such as UK Biobank, English Longitudinal Study of Ageing, and The Southampton Women’s Survey), national registries (MINAP, BCIS, and GRASP-AF), and routinely collected electronic health records (CRPD, HES, ONS civil registration of death) in the context of disease detection and trajectories, risk factors and health inequalities in diagnosis and treatment.
At the Wolfson Institute of Population Health, I lead on multidisciplinary research in advanced statistical methods using electronic health records and other longitudinal and biomedical data sources to create insights into health and inequalities relevant to obesity, diabetes, cancer, and cardiovascular disease across the life course. I also work on developing and applying machine learning and AI-based algorithm for disease diagnosis and prediction of atrial fibrillation and heart failure using routinely collected primary and secondary care data.