Anna Freni Sterrantino

Anna Freni Sterrantino is a Research Fellow in the Urban Analytics Group at the Alan Turing Institute (London, UK). Her expertise is in Spatio temporal Bayesian modelling and environmental epidemiology, her research spans public health, urban analytics, and environmental studies. Anna received her PhD in Methodological Statistics from the University of Bologna(Italy) and held positions at the Small Area Statistical Health Unit at Imperial College London, the Environmental Agency (Italy), the United Nations Drug and Crime (Austria) and the Small Area Health Statistics Unit, Imperial College London.

Anna’s notable contributions include developing a novel statistical method for analyzing causality in disconnected spatial areas. This method has been implemented in R-INLA software and applied to evaluate the impact of incinerators on infant mortality in the UK, demonstrating the practical application of her research.

At the Turing Institute, she led the statistical assessment of the Office for National Statistics’ Health Index and is currently integrating Health Index indicators into Turing’s Synthetic Population Catalyst framework.

Innovation Title:

Statistical Insights into Geospatial Data Integration and Scaling

Abstract:

This talk explores the integration and scaling of geospatial data through the application of statistical methodologies, with a focus on Bayesian statistics. I address the challenges of modelling data from diverse sources while holding statistical assumptions. The results highlight the importance of a statistically grounded approach to geospatial data modelling, offering insights into effective data integration and scalable modelling in diverse environmental and geographic locations.