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Applied Statistics & Risk Unit (AS&RU)

AS&RU has a remit to encourage and co-ordinate external partnerships which enable the early applications of theoretical, methodological and algorithmic developments.

Partnership Day 2020 Register here

Industrial Collaborative Awards in Science and Engineering (iCASE) studentships: unique industry-academic PhD training opportunities.

Details here: ICASE studentships

We have collaborated on producing two catalogues - one on decision support tools (here) and another on visualising uncertainty (here)

If you would like to discuss potential collaborations, click the 'page contact' link at the bottom of the page.

Professor Jim Q. Smith

Jim is an expert in Bayesian decision analysis, graphical models especially dynamic ones and causal discovery in novel settings. He is a Fellow of the Turing Institute and has an enduring interest in modelling complex and high dimensional domains including the elicitation of expert judgments. He has worked closely with industry and government including forecasting in multivariate settings, statistical application in forensic science, the retrieval of evidence from partial fingerprints, designing decision support systems for volume crime and the prevention of serious crime. He has also worked in product and food safety and statsitical models of public health. Jim Q Smith Homepage

Dr Martine J Barons

Director of the Applied Statistics and Risk Unit

Martine has a personal research interest in statistical and mathematical modelling of human systems, decision support, Bayesian networks, structured expert judgement elicitation, risk & uncertainty, survival and other health outcomes.

Martine has a background in mathematics and complex systems and also accountancy & business administration.

Martine J. Barons Homepage

Dr Jeremie Houssineau

Jeremie's research interest is in alternative representations of uncertainty, with a particular focus on complex systems. He has also worked on Bayesian statistics, Monte Carlo methods and spatial point processes.

Jeremie has a background in mathematical and statistical modelling and in signal processing, with experience both in industry and in academia.

Jeremie Houssineau Homepage

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QED Food Security group

Quantitative, Evidence-Based Decision support for Food Security

This expanding group has a growing reputation for its almost unique use of advanced quantitative methods in tackling the knotty problem of household food security.

Funded by EPSRC, Jim Q. Smith & Martine J. Barons established new methods for integrating probabilistic models for decision support, called integrating Decision Support Systems (IDSS), with valuable contributions by Manuele Leonelli. In collaboration with local government, these new methods are being used to underpin bespoke IDSS for policymakers concerned with the reduction of household food poverty in the current changing and increasingly challenging environment.

Sophia K. Wright and Jim Q. Smith are working on robustness of decision support models and Rachel L. Wilkerson and Jim Q. Smith are working on causality in decision support models.

With Simon French, MJB & JQS have been appointed by the European Food Standards Agency to provide training in the structured elicitation of expert judgement.

This group has established a large number of collaborations over a range of universities and centres both in the UK and worldwide. It is also intimately connected to the university-wide Food GRP (JQS is an academic lead) and works across disciplines in research, teaching and grant applications.

Prof Jane Hutton

Medical, disease & biology group

Professor Jane L. Hutton is an expert in medical statistics, with special interests in survival analysis, meta-analysis and missing data. She has major collaborations in cerebral palsy and epilepsy and is frequently called upon to be a statistical expert witness in court cases. Linda Nichols assists in this work.

Dr Simon Spencer is an expert in Bayesian inference applied to epidemiology, outbreak detection and source attribution methods, stochastic epidemic models, statistics for analytical science and network inference and validation.

Dr Julia Brettschneider is an expert in statistical methodology for genomic data (e.g. gene expression profiles, microscopic images), quality assessment for high-dimensional data (e.g. microarrays, additive layer manufacturing), Spatial modelling and modelling decision-making processes involving genomic cancer recurrence risk.

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Emergency decision support group

Professor Simon French and Professor Jim Q. Smith have a long history of advising the nuclear industry concerning emergency countermeasures that properly take account of uncertainties in forecasting contamination and also in the study of effective communication of command and control strategies to ground forces that maximise thier rationality.

They are experts in the design of decision support systems and their use in emergency situations, Bayesian decision making under conflict, methods for combining expert judgments and elicitation, the calculation and communication of risk to stakeholders across the public and private sectors, often in contexts that relate to the environment, energy, food safety and the nuclear industry.