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
- 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.
- Hongyuan Shu - Amortized Bayesian inference (2023-2027).
- Ines Krissane- Mitigating Model Misspecification with Variational Bayesian Inference (2019-2024), funded by Microsoft Research Cambridge.
- 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.
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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.
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Dr Pablo Alvarado - Physically-informed probabilistic modelling of air pollution in Kampala using a low cost sensor network. Funded by EPSRC.
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Dr Philip Paine - Statistical Model Data Comparison. Funded by a Past Earth Network grant.
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Dr Alan Saul (Senior Machine Learning Researcher, Prowler.io). Funded by SC Johnson on the project Machine Learning for Aerosol Lifetime Prediction.
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Dr Ed Knock (Assistant Professor, University of Nottingham). Employed by ERC grant PANACEA</li>
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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.