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Oliver Stoner is a Senior Research Fellow in Statistics at the University of Glasgow, specializing in Bayesian hierarchical modelling and statistical methods for public health data. He began his academic career as a Lecturer in Statistics and has a keen interest in applying statistical modelling to solve real-world problems. Before joining Glasgow, he was a Research Fellow at the University of Exeter, where he obtained his PhD in 2019. His thesis focused on developing Bayesian hierarchical modelling frameworks for flawed data in environmental health contexts. Stoner's research often involves collaboration with organizations like the World Health Organization, addressing urgent global issues such as household air pollution and infectious disease surveillance. He has published research on improving statistical methods related to delayed reporting of disease data, which has been influential in shaping public health responses during the COVID-19 pandemic. Additionally, he supervises PhD students and teaches Advanced Data Analysis, and is involved in various funding projects aimed at enhancing statistical modelling capabilities for environmental and health datasets.
University of Glasgow • Glasgow, Scotland
Conducting research in Bayesian hierarchical modelling and statistical applications in public health.
University of Exeter • Exeter, England
Focused on developing statistical models for environmental health data.