Dr Jonathan Owen
- Position: Postdoctoral Research Fellow
- Areas of expertise: Bayesian Statistics; analysis of computer models; Bayesian emulation; Bayes Linear methodology; uncertainty quantification; history matching; calibration; decision support
- Email: J.Owen1@leeds.ac.uk
- Location: 11.06 Priestley
I am a Postdoctoral Research Fellow working on the UKRI Future Leaders Fellowship project “SMB-Gen: Constraining projections of ice sheet instabilities and future sea level rise” supervised by Dr Lauren Gregoire, and co-supervised by Prof Daniel Williamson, University of Exeter. In this project I am developing Bayesian statistical emulation methodology for past climate and ice sheet surface mass balance to be used to simulate past and future instabilities in the Greenland, Antarctic and Northern Hemisphere ice sheets and the resulting sea level rise.
I studied for my PhD in Mathematical Statistics at Durham University supervised by Prof Ian Vernon and Prof Michael Goldstein working on Bayesian uncertainty analysis and decision support for complex computer models of physical systems with application to production optimisation of subsurface energy resources.
Subsequently I undertook a postdoctoral research associate position at Durham University supervised by Prof Ian Vernon to perform Bayes linear emulation and history matching of the JUNE model, a stochastic agent-based model for the transmission of infectiuous diseases, for the Covid-19 pandemic in England and a large refugee camp in collaboration with the UN.<h4>Research projects</h4> <p>Any research projects I'm currently working on will be listed below. Our list of all <a href="https://environment.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p>
- PhD in Mathematical Sciences, Durham University, 2023
- International Society for Bayesian Analysis (ISBA)
- Junior ISBA
- Society for Industrial and Applied Mathematics
Research groups and institutes
- Institute for Climate and Atmospheric Science