Jonathan (Jonty) Rougier
I am a ‘full service’ statistician, with particular experience in Computer Experiments, computational statistics and Machine Learning, uncertainty and risk assessment, and decision support. I have collaborated widely in the physical sciences and in environmental science. My preferred approach is to work with a group of specialists to increase the rigour, transparency, and cost-effectiveness of their practices, in situations where there is a lot of uncertainty.
25 years of topics: pipelines • computer experiments • oil reservoirs • correlations in stock markets • climate modelling • football • donkeys • avalanches • birdsong • mortality in emergency surgery • ash clouds • extreme weather early warning • digital elevation models • shape analysis of human skulls • national-scale risk assessment • tennis • paleoclimate reconstruction • explosive volcanism • Antarctic mass balance • global sea level rise • reliability and safety • plasma physics
Book in production for the Institute of Physics Publishing: Computer Experiments: A Practical Guide for Scientists and Engineers. Coming out, fingers crossed, end of 2023.
Receiving the 2021 Barnett Award from RSS President Professor Sylvia Richardson.
Brief biography
Currently an independent scientist, Honorary Professor, School of Mathematics, University of Bristol, and Visiting Professor, Department of Mathematics, Imperial College London
Formerly Professor of Statistical Science and Head of Statistics, School of Mathematics, University of Bristol (until 30 June 2019).
Royal Statistical Society Barnett Award, 2021, for environmental statistics
2007-2019: Lecturer (then Reader, then Professor), School of Mathematics, University of Bristol
1997-2007: Researcher, Department of Mathematical Sciences, Durham University
1990-1997: Lecturer, Department of Economics, Durham University
Some recent publications
J.C. Rougier and A. Duncan, 2023, Bayesian modeling and inference for one-shot experiments, forthcoming in Technometrics
D.J. Hoarty, J.Morton, J.C. Rougier, et al (2023), Radiation burnthrough measurements to infer opacity at conditions close to the solar radiative zone–convective zone boundary, Physics of Plasmas, 30, 063302, doi:10.1063/5.0141850
J.C. Rougier, A. Brady, J. Bamber, S. Chuter, S. Royston, B.D. Vishwakarma, R. Westaway, and Y. Ziegler (2023), The scope of the Kalman filter for spatio-temporal applications in environmental science, Environmetrics, 34(1), Environmental Data Science Special Issue, e2773, doi:10.1002/env.2773
J.C. Rougier, R.S.J. Sparks, W.P. Aspinall, and S.H. Mahony (2022), Estimating tephra fall volume from point-referenced thickness measurements, Geophysical Journal International, 230(3), pages 1699-1710, doi:10.1093/gji/ggac131