This project is supported by various organisations and institutions from industry, academia and research fields who form the members of the Advisory Panel for the project.
Prof. Alan Brennan
Professor of Health Economics and Decision Making, School of Health and Related Research, University of Sheffield
Prof. Darren Wilkinson
Professor of Stochastic Modelling in the School of Mathematics & Statistics at Newcastle University
Prof. Keith Bevan
Professor of Hydrology and Fluid Dynamics, Environmental Science / Lancaster Environment Centre, Lancaster University
Expertise in rainfall-runoff, modelling, and flood forecasting, and instigator of the GLUE methodology for uncertainty estimation for environmental models.
Member of MUCM Advisory Group, with role of suggesting hydrological applications.
Dr Richard White
Senior Lecturer in Infectious Disease Modelling in the Centre for the Mathematical Modelling of Infectious Diseases at the London School of Hygiene & Tropical Medicine.
Dr Jonty Rougier
Senior Lecturer in Statistics, Department of Mathematics, University of Bristol
Dr John Paul Gosling
Lecturer in the Department of Statistics, University of Leeds
Research Statistics Unit
Dr Robert (Bob) Parish
Bayesline is a radically innovative company which applies advanced mathematical techniques to produce pioneering new software tools for the financial sector. By bringing together some of the world’s leading experts in the fields of mathematics and software engineering, the company aims to harness the everincreasing computing power generally available today to develop solutions that improve the business performance of our clients.
Rolls Royce plc
Dr Ron Bates
Robust Design Specialist, Rolls Royce UK, Derby, UK
A number of projects are under consideration in which uncertainty assessment is important. The initial project to be done will be concerned with the application of new methods of assessing bladed disc vibrations in aero-engines. This is an important area within the company and substantial effort goes into understanding the vibration behaviour. A major difficulty in assessing the bladed disc vibration environment is that very small differences across individual blade characteristics can cause significant variations in the response of blades; this means that there is a need to consider multiple potential outcomes for a given engine condition. Fast methods to enable design-parameter to response-level trends to be understood would be very valuable.
Rolls-Royce is a global business providing power systems for use on land, at sea and in the air. The Group has a balanced business portfolio with leading positions in the civil and defence aerospace, marine and energy markets. There are some 54,000 Rolls-Royce gas turbines in service and they generate a demand for high-value services throughout their operational lives. Rolls-Royce is a technology leader, employing 36,200 people in offices, manufacturing and service facilities in 50 countries.
Dr Marc Kennedy
Senior Statistician & Risk Analyst, Risk Analysis Team
The Food & Environment Resarch Agency, York, UK
The Central Science Laboratory (CSL) is a research agency of the UK Department for Environment, Food and Rural Affairs (Defra), providing research and advice on issues related to food, agriculture and the environment. The Risk Analysis Team develops quantitative methods for risk analysis and applies them in all areas of CSL’s science. CSL models relevant to the MUCM project include models of pesticide risks to birds and aquatic organisms, and models of human dietary exposure to contaminants in food.
EU Joint Research Centre
Dr Andrea Saltelli
Unit Head, Unit of Econometrics & Statistical Support to Antifraud, European Commission, Joint Research Centre, Ispra, Italy
The unit develops and deploys modern statistical and econometric tools for the analysis and assessment of EU policies. The Unit's competence includes data analysis, short term economic analysis, financial econometrics, econometric modelling, uncertainty and global sensitivity analysis.
Los Alamos National Laboratories
Dr David Higdon
Group Leader, Statistical Sciences, Los Alamos National Laboratories, Los Alamos, USA
Dr David Sexton
Head of Scenarios Development, Quantifying Uncertainty in Model Projections,
Hadley Centre, Met Office, Exeter, UK
Health Protection Agency
Dr Richard Haylock
Radiation Protection Division, Didcot, Oxon, UK