Measuring the Unmeasurable? Understanding Uncertainty in Biodiversity Metrics
I have just begun my PhD research into the statistical issues associated with the quantification of biodiversity, funded by NERC on the E5 DTP.
A Hierarchical Bayesian Analysis of Ethnic Bias Police Stop and Search in England and Wales
My undergraduate project, inspired by Gelman et al (2007), s looked at developing a Bayesian hierarchical model to investigate ethnic bias in police stop and search in England and Wales. In 2025, I presented this work to the Royal Statistical Society's Edinburgh local group as well as in the Instutute for Adaptive and Neural Computation's seminar series at the University of Edinburgh.
Environment Ensemble Models for Genomic Prediction in Common Bean
Published in The Plant Genome. We investigated the use of ensemble methods (including ensemble deep learning) for genomic prediction in common bean across several sites in North America.