I work in the Computational Health Informatics group lead by David Clifton. I am co-supervised by Patrick Thomson and Rob Hope in the School of Geography and the Environment.
My project aims to be able to predict groundwater depth, among other things, using accelerometry data from handpumps. I use a variety of machine learning techniques to do this. The project focuses on the area of Kwale, in southern Kenya.
Master's Dissertation: 'Genealogical and Genetic Ancestry: Extending the Matsen-Evans model to k-gene chromosomes'
"Smart Water Systems: Remote monitoring of rural handpumps" at the IET conference Appropriate Healthcare Technologies for Low Resource Settings (AHT). You can watch the presentation here