Please get in touch if you would like to discuss potential PhD projects. My research interests are primarily Bayesian statistics, uncertainty quantification, climate science, and Monte Carlo methods such as ABC.
- Fiona Turner - Reconstructing the past and predicting the future: what can icecores tell us about climate? (started Sept 2016)
- Jonathan Sykes - Characterising Uncertainty in Complex Environmental Simulations for Public Engagement with Climate Change Conscious Sustainable Planning and Design (second supervisor, started Sept 2016)
- Elena Uteva - Speeding up molecular simulations using Gaussian processes (second supervisor, started Sept 2013).
Former PhD students
- Dr Michael Thompson (School of Mathematical Sciences, University of Nottingham)- Gaussian process models for equations of state (second supervisor), 2013-2017.
- Dr David Crevillen Garcia (School of Engineering, University of Warwick)- Uncertainty quantification flow and transport in porous media (2012-2015)
- Dr Jake Carson (Department of Mathematics, Imperial College London) - Quantifying uncertainty in palaeo-climate reconstruction, 2010-2014.
- Dr Kamonrat Suphawan (Department of Statistics, Chaing Mai University) - Identifying model error in dynamical systems (2011-2015)
- Dr Ed Knock (Assistant Professor, University of Nottingham). Employed by ERC grant PANACEA
- Dr Martin Nelson (Nottingham Trent University). Employed by EPSRC grant Tractable equations of state for carbon dioxide mixtures in carbon capture, transport and storage: algorithms for automated generation and optimisation, tailored to end-users
- Dr Michail Vrettas (U.C. Berkley). Employed by the grant Sequential learning of model error in rainfall-runoff models.