As a current PhD student at Imperial College London, Abi Riley will completing a 6-month internship in the φ-lab, in a joint project with the UNICEF Giga Data Science Team. TheirPhD works on the development of Bayesian spatiotemporal models for applications to air pollution modelling and non-communicable disease epidemiology, including the use of earth observation products as proxy data sources, predictive variables, and model covariates. Before her PhD, shecompleted her undergraduate and master’s education in mathematics, specialising in Bayesian modelling and differential equations.
The joint UNICEF-ESA project aims to quantify the connectivity of children and schools to vital electricity and internet services, with the hope to identify priority regions and schools. Abi’s branch of the project will be on mapping and predicting electricity connectivity in Brazil and Sub-Saharan Africa, through the use of large geospatial datasets, including a number of earth observation products, socio-economic variables, population estimates, and existing energy infrastructure. Her aim is to link her PhD work in Bayesian modelling to cutting-edge models in Bayesian machine learning and AI algorithms.
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