I'm a data modeller working at the interface of statistics, machine learning and AI. I have experience in devloping probabilistic data models to solve problems in a variety of areas, including environmental sciences, hydroinformatics, epidemiology and public health. My research broadly focuses around Bayesian hierarchical modelling. More specifically research interests include:

• Space-time modelling using Bayesian hierarchical splines
• Space-time modelling of point processes
• Stochastic weather generators
• Downscaling of weather and climate data
• Hidden Markov and semi-Markov models