• Statistics for the Natural Environment Workshop, University of Lancaster, February 2020, Spline-based models for Groundwater Contamination Monitoring Data

  • Workshop on Advanced Statistical Methods for Complex Data, University of Cape Town, 28-31 January 2020, Flexible Regression.

  • Florence Nightingale Day 2020, University of Lancaster, Visualising the environment: When pictures really do speak 1000 words. Info


  • Scottish Contaminated Land Forum 2019, Glasgow, GWSDAT: A Tool for Analysing Groundwater Quality Data and Contamination Plumes.

  • AquaConSoil 2019, Antwerp, Statistical modelling of groundwater contamination monitoring data: A comparison of spatial and spatiotemporal methods.

  • TIES 2017, Bergamo, Efficient Bayesian optimisation of two penalty terms in a spatio-temporal splines model with an application to groundwater contamination.

  • TIES 2016, Edinburgh, Modelling groundwater contamination: A comparison of spatial and spatiotemporal methods (Poster).