Bayesian multi-level modelling for partial pooling of information between fatigue crack growth test datasets.
Partial pooling of inspection information from multiple locations to improve probabilistic estimates of corrosion growth rate.
Extension of Bayesian decision theoretic framework to account for risk of inspection activities in quantifying the expected value of information.
Quantifying the variability within, and the inter-dependency between all parameters in models that predict fatigue failure of welded steel structures.
My research interests include multi-level Bayesian modelling (for partial pooling of information) and it’s decision theoretic applications, such as quantification of the expected value of information. I also work in football (soccer) analytics.