I am a genetic epidemiologist with an interest in computational medicine and the statistical genetics of common complex diseases. I have led and contributed to a number of research programmes examining the genetic basis of the risk factors for cardiovascular diseases, diabetes and cancer, integrating information from rare mutations and common genetic changes. My work focuses on identifying new genetic loci associated with these diseases, using genetic information for the early prediction of disease and using genetic methods for the assessment of risk factors. Understanding these risk factors of disease is critical for development of effective public health interventions. My current work focuses on integrating information from genetics, metabolomics and machine learning to inform drug development. I am a member of the UCLEB consortium and the International Consortium of Exome array studies (BP-ICE).
I lead the postgraduate training of students in the area of bioinformatics and –omics analysis in Brunel University London and provide training on genetic epidemiology and statistical genetics to students from collaborating universities, including UCL and Imperial College.
University of Dundee BSc (Hons)
Newcastle University PhD
Fellow of the Higher Education Academy