Dr Ben Swallow
- Lecturer (Statistics)
Personal page with up to date information can be found here
My research interests lie mainly in the field of Bayesian statistical inference, particularly Markov chain Monte Carlo (MCMC) methods, data integration and model selection, applied to problems in environmental and biological sciences.
I am interested in modelling stochastic real-world systems using Bayesian statistical approaches.
I have particular interest in modelling data with excessive zeros.
My recent research has concerned Bayesian parameter inference and identifiability for stochastic mathematical models of systems biology and epidemiology.
March 2022 - EPSRC Impact Acceleration Fund (£5200) for spatio-temporal visualisation tools
December 2021 - University of Glasgow 'Reinvigorating Research' (£25,000) to work on aspects of inference for zero-inflated data.
December 2021 - Edinburgh Mathematical Society 'Research grant' (£1,000) - to supply computational resources for Approximate Bayesian Computation methods for spatial epidemic models.
March 2017 (Co-I): Jean Goulding Institute (Univeristy of Bristol) for data-intensive research seed corn funding (≈£5000) to cover my salary and travel expenses for a project entitled ‘Supervised learning to support the optimisation of chemical reactions’ working with computational chemists at the Universities of Bristol and York and industry partners.
November 2015 (PI): SECURE research workshop grant with additional matched funding from the Cabot Institute (total £2500) for a workshop entitled ‘Modelling uncertainty from multi-scale data streams in environmental and ecological sciences’
2021- : Chenglei Hu - Multivariate extremes
2020- : Megan Laxton - Multiscale animal movement
2020- : Stephen Jun Viello - Bayesian spatio-temporal change of support problems
2018 - : Kannat Na Bangchang - Bayesian variable selection in GWAS
- Villejo, Stephen Jun
A Bayesian Spatio-Temporal Model to Test for Stability of Risks for Spatially Misaligned Data
Stochastic Processes (Level 4/5)
Multivariate Methods (Level 4/5)
Professional activities & recognition
Grant committees & research advisory boards
- 2021: UKRI, Future Leaders Fellow Peer Review College
- 2020: Royal Statistical Society, Annual Conference Board
- 2021: Royal Statistical Society, Discussion meetings committee
- 2021: Journal of Statistical Theory and Practice
Professional & learned societies
- 2017: Associate Fellow, Higher Education Academy
- 2012: GradStat Fellow, Royal Statistical Society
- 2019: Member, International Society for Bayesian Analysis
- 2011: Member, International Biometric Society
Selected international presentations
- 2014: International Statistical Ecology Conference (Montpellier)
- 2016: AGU Fall Meeting (San Francisco)
Meetings Secretary for the Environmental Statistics Section/Conference Board member/Discussion Meetings Committe member, RSS
GradStat Fellow of the Royal Statistical Society (RSS)
Associate Fellow of the Higher Education Academy