Prof Richard Wilkinson

Position: Professor
Home page:
Telephone: (0114) 2223728
Office: I14 Hicks building
Photo of Richard Wilkinson


MAS474 Extended Linear Models Information uses MOLE
MAS6003 Linear Modelling Information uses MOLE


Interests: Bayesian statistics, uncertainty quantification
Research group: Statistics
Publications: Preprint page


Current grants, as Principal Investigator
Mechanistic Model Misspecification (EPSRC CASE award sponsored by Microsoft Research)
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
Current grants, as Coinvestigator
Uncertainty Quantification in Prospective and Predictive Patient Specific Cardiac Models EPSRC
Enhancing Machine Learning with Physical Constraints for Predicting Microstructure Evolution
Plastics: Redefining Single-Use EPSRC
Past grants, as Principal Investigator
Machine learning for aerosol lifetime prediction SCJ
Statistical Model Data Comparison
Past grants, as Coinvestigator
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.

Research interests:

Uncertainty quantification, Monte Carlo (especially Approximate Bayesian Computation (ABC) methods), applied statistical modelling, climate science.

Working arrangements:

I don't work on Friday.