Please get in touch if you would like to discuss potential PhD projects. My research interests are primarily in uncertainty quantification and probabilistic machine learning methods. I tend to work at the interface of statistics, machine learning, and applied maths.

Post-docs

• Chris Lanyon working on the EPSRC funded Scaling Cardiac Biomechanics Digital Twins for Personalised Medicine project.
• Mariya Mamajiwala working on the EPSRC funded In-Procedure Personalized Atrial Digital Twin to Predict Outcome of Atrial Fibrillation Ablation project.
• Adrian Denz. Adrian is a SNSF postdoc.mobility fellow, working on modelling mosquito movement.

PhD students

• Ines Krissane- Mechanistic Model Misspecification (2019-2023), funded by Microsoft Research Cambridge.
• Frankie Patten-Elliott - Modelling Drug-Binding to Ion Channels (2022-2026).
• Chris Taylor - Detecting Historic Maintenance Interventions on Railway Bridges to Enhance Life Cycle Modelling (2022-2026), funded by Network Rail.

Former PhD students

• Valentin Breaz - Improving GP emulation using calibration-aware dimension reduction (started July 2018), funded by Total.
• Fiona Turner (Research fellow at KCL). Reconstructing the past and predicting the future: what can ice­-cores tell us about climate? Sept 2016 - 2020.
• Jonathan Sykes - Characterising Uncertainty in Complex Environmental Simulations for Public Engagement with Climate Change Conscious Sustainable Planning and Design (second supervisor), 2016 - 2020
• Elena Uteva - Speeding up molecular simulations using Gaussian processes (second supervisor, 2013 - 2017). Daphne Fellow, University of Nottingham.
• 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)</li>
• 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).

Former Post-docs

• Dr Sam Coveney - Uncertainty Quantification in Prospective and Predictive Patient Specific Cardiac Models . Funded by EPSRC.

• Dr Paterne Gahungu - Physically-informed probabilistic modelling of air pollution in Kampala using a low cost sensor network. Funded by EPSRC.

• Dr Wil Ward - Enhancing Machine Learning with Physical Constraints for Predicting Microstructure Evolution . Funded by EPSRC.

• Dr Pablo Alvarado - Physically-informed probabilistic modelling of air pollution in Kampala using a low cost sensor network. Funded by EPSRC.

• Dr Philip Paine - Statistical Model Data Comparison. Funded by a Past Earth Network grant.

• Dr Alan Saul (Senior Machine Learning Researcher, Prowler.io). Funded by SC Johnson on the project Machine Learning for Aerosol Lifetime Prediction.

• Dr Ed Knock (Assistant Professor, University of Nottingham). Employed by ERC grant PANACEA</li>

• 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.