PhD supervision

Current PhD students

• James Salsbury, co-supervised with Steven Julious

• Iain Webb, co-supervised with Jill Johnson.

Funded Studentship Available

I am currently recruiting for a PhD student to start in October 2026. This is for a project in medical statistics, co-supervised with Steven Julious and in collaboration with Novartis. More details are available here. Please contact me if you would like to discuss this project before applying.

Previous PhD students

Includes thesis titles and links to theses online (where available):

• John Paul Gosling (2005). Elicitation: A nonparametric view. Jointly supervised with Tony O’Hagan.

• Kevin McNally (2005). Uncertainty in financial models of large and complex government projects. Jointly supervised with Tony O’Hagan and David Laws.

• Tom Fricker (2010). Emulators for multiple output computer models.

• Leo Bastos (2010). Validating Gaussian process models in computer experiments. Jointly supervised with Tony O’Hagan.

• Gemma Stephenson (2010). Using derivative information in the statistical analysis of computer models. Jointly supervised with Peter Challenor at the National Oceanography Centre.

• Nicola Stone (2011). Gaussian process emulators for uncertainty analysis in groundwater flow. Jointly supervised with Andrew Cliffe at the University of Nottingham.

• Francisco Alejandro Diaz De la O (2011). Gaussian process emulators for the analysis of complex models in engineering. Jointly supervised with Sondipon Adhikari at the University of Swansea.

• Theresa Cain (2011). Bayesian inference for health state utilities using pairwise comparison data. Jointly supervised with John Brazier.

• Shijie Ren (2011). Incorporating prior information into clinical trial design.

• Mark Strong (2011). Managing structural uncertainty in health economic decision models.

• Penny Watson (2013). The use of health economic methods in the development of new interventions for systemic lupus erythematosus. Jointly supervised with Alan Brennan.

• Ziyad Alhussain (2015). Eliciting beliefs about uncertain population means and variances.

• Fatimah Aloef (2015). Bayesian design of discrete choice experiments for valuing health state utilities. Jointly supervised with Eleanor Stillman.

• Younus Al-taweel (2018). Diagnostics and simulation-based methods for validating Gaussian process emulators.

• Oliver Jones (2020). A framework for combining model calibration with model-based optimisation in virtual engineering design workflows. Jointly supervised with Robin Purshouse.

• Budhi Handoko (2022). Sensitivity analysis and its role in expert judgement.

• Inès Krissane (2024). Mitigating Model Misspecification with Variational Bayesian Inference. Lead-supervised by Richard Wilkinson at the University of Nottingham. 

• Jeremy Colman (2024). Prior distributions for Bayesian inference about extremes.

• Wael Mohammed (2025). Informing Health Economic Decisions: A Framework for Model Calibration and Value of Information Analysis for Target Data. Lead supervised by Mark Strong, Pete Dodd and Olena Mandrik in the School of Medicine and Public Health.