Kenneth’s research focuses on methods of aggregating data from multiple surveys with differing clustering structures. In particular, he is interested in maximising the utility of data from multiple surveys in identifying environmental and genetic determinants of selected non-communicable diseases in African populations. He is closely involved with the Human Heredity & Health in Africa (H3Africa) Initiative (http://h3africa.org/) and is leading the coordination of the H3Africa Diabetes study which is the largest multi-country study of the epidemiology of Type 2 Diabetes in Africa to-date. He has developed the analysis plan for this study and will be leading the analysis. He is also conducting pooled analyses of individual participant data from across Africa to clarify the relationship between HIV and cardiometabolic risk and to assess the use of anthropometric indices in determining risk for cardiometabolic disease.

Kenneth previously worked at the Medical Research Council/Uganda Virus Research Institute (MRC/UVRI) Research Unit, where, over a period of four years, he worked on a number of studies undertaking statistical analysis of a range of data including longitudinal HIV epidemiological data and population based health surveys.  During this time he also spent time as a visiting scholar at the South African Medical Research Council Biostatistics Unit in Pretoria, South Africa, funded by the HIV Research Trust where he worked on developing multi-state models to analyse HIV treatment outcomes. Before starting his PhD studies, Kenneth was a visiting fellow at the Wellcome Trust Sanger Institute and Department of Public Health and Primary Care at the University of Cambridge.