Mei Sum Chan

Mei joined the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU) in 2017 and is based in the Big Data Institute. She is investigating biological ageing scores as means of expressing the effects of modifiable biomarkers for chronic diseases. This involves the use of several statistical methods to characterise biological ageing pathways and biomarker associations across multiple organ systems, and is intended to aid in designing interventions for earlier disease diagnosis and targeted treatments. Her research is supported by a Nuffield Department of Population Health Scholarship.

Mei is a Fellow of the Institute and Faculty of Actuaries and the Royal Statistical Society, and holds a Masters in Mathematics, Operations Research, Statistics and Economics (MORSE) from the University of Warwick. Prior to joining the department, she worked as a Medical Statistician in a leading international insurer, within an industry-academia collaboration based in University College London, investigating socioeconomic inequalities in health expectation and survival with multiple morbidities.

Project Title

Biological Ageing: Statistical analysis of physical, biochemical and imaging biomarkers and diseases of old age in UK Biobank

Supervisors

Professor Sarah Parish, Dr Matthew Arnold and Professor Rafael Perera