I am a Clinical Epidemiologist at the Deep Medicine programme, University of Oxford, with research interests in using large-scale clinical and other biomedical data to improve our understanding of the determinants of population health, cardiovascular and metabolic disease aetiology, and clinical factors affecting health outcomes. I am also interested in understanding the complex nature of the relationships between body composition and health, such as in the context of obesity, ageing, frailty, and multimorbidity.
I am involved in the Oxford Martin School Deep Medicine Research Programme which aims to combine expertise in medicine, epidemiology and machine learning in using Big Data in healthcare to extend our knowledge and understanding of complex disease patterns and risks, and provide novel insights into managing patients with complex conditions. I am also engaged in evaluating less commonly investigated outcomes associated with blood pressure lowering treatments using evidence from large-scale linked primary care health records (UK Clinical Practice Research Database [CPRD]) and population-based cohort studies (UK Biobank), and data from clinical trials (Blood Pressure Lowering Treatment Trialists Collaboration) to help identify ways to maximize health gains and minimize adverse effects of blood pressure lowering treatments.
I have a background in Psychology (Ateneo de Manila University, Philippines), and Clinical Medicine (University of the Philippines – Philippine General Hospital), and obtained my MPhil and PHD degrees in Epidemiology at University of Cambridge. I have had the opportunity to pursue research in large-scale population-based cohorts (EPIC-Norfolk, Northern Finland Birth Cohort Studies 1966 & 1985-1986, and the Million Women Study) on body fat distribution and cardiovascular disease risk; early life factors of adult cardiovascular, metabolic and respiratory health; and determinants of women's vascular health.
My research interests include: