When people ask what I do, I say “I do science in areas of high uncertainty and/or high value”. In these areas we want our analysis to be:
These are precisely the attributes of a proper statistical analysis, as carried out by an experienced professional statistician (like me).
20 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 risk assessment • paleoclimate reconstruction • explosive volcanism • asset risk assessment • collisions in space • Antarctic mass balance • global sea level rise
Currently an independent statistical scientist, and Honorary Professor, School of Mathematics, University of Bristol.
Formerly Professor of Statistical Science, School of Mathematics, University of Bristol (until 30 June 2019).
2007-2019: Lecturer (then Reader, then Professor), School of Mathematics, University of Bristol
1997-2006: Researcher, Department of Mathematical Sciences, Durham University
I am a ‘full service’ statistician, but I have particular expertise in
Bayesian modelling and inference, including inverse problems
Uncertainty and risk assessment
Statistical prediction (including statistical machine learning)
Statistical computing, mainly in R and C
As a statistician, I am unusually well-informed about Earth and Environmental Sciences.
Non-profit organizations, including universities and research grants (limited availability): £500 per day (1 day = 7.5 hours)
Other non-profit organizations and Bristol SMEs: £750 per day.
Other organizations: £1,000 - £2,500 per day, depending on organization, topic, and duration.
Expenses: £150 per night for consecutive days away from Bristol; £200 per trip travel (UK only, no flying).