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Prof Richard Wilkinson
|Interests:||Bayesian statistics, uncertainty quantification|
|Current grants, as Principal Investigator|
|Mechanistic Model Misspecification (EPSRC CASE award sponsored by Microsoft Research)||EPSRC|
|Improving GP emulation using calibration-aware dimension reduction (Industrial Funding of PhD studentship from Total S. A.)|
|Physically-informed probabilistic modelling of air pollution in Kampala using a low cost sensor network||EPSRC|
|Past grants, as Principal Investigator|
|Machine learning for aerosol lifetime prediction||SCJ|
|Statistical Model Data Comparison||EPSRC|
|Past grants, as Coinvestigator|
|Uncertainty Quantification in Prospective and Predictive Patient Specific Cardiac Models||EPSRC|
|Enhancing Machine Learning with Physical Constraints for Predicting Microstructure Evolution||EPSRC|
|Plastics: Redefining Single-Use||EPSRC|
|Tractable equations of state for carbon dioxide mixtures in carbon capture, transport and storage: algorithms for automated generation and optimisation, tailored to end-users (UKCCS funding via EPSRC)||EPSRC|
Professor Richard Wilkinson graduated from the University of Cambridge with a BA in Mathematics (2002), before doing Part III and then going on to study for a PhD in the Department of Applied Maths and Theoretical Physics (2008) also at Cambridge. He then moved to the University of Sheffield, before taking a lectureship at the University of Nottingham in 2009. In 2015 he moved back to the University of Sheffield to become Senior Lecturer, and then in 2018, Professor of Statistics.
Uncertainty quantification, Monte Carlo (especially Approximate Bayesian Computation (ABC) methods), applied statistical modelling, climate science.
I don't work on Friday.