Reading group and group meeting
We meet weekly for a Bayesian computation reading group to discuss recent and classic papers, and also for a group meeting at which we discuss our current research.
Current group members
Ivis Kerama is a PhD student funded by the EPSRC Mathematics of Planet Earth CDT and Cefas. He is working on "Improved Approximate Bayesian Computation for inference of the likely effects of climate change on animal populations”, co-supervised by Richard Sibly and Robert Thorpe. This project is part of an initiative on Individual-Based Modelling at the University of Reading.
Laura Mansfield is a PhD student funded by the EPSRC Mathematics of Planet Earth CDT. She is working on "Model reduction using emulation for understanding and predicting climate responses to different regional emission forcing”, co-supervised by Brian Hoskins and Apostolos Voulgarakis. Laura has a twitter account.
Felipe Medina Aguayo is a postdoc on my BBSRC project “Understanding recombination through tractable statistical analysis of whole genome sequences”. He is working on applying recently developed techniques in Bayesian computation to whole genome sequence data, and on developing his own Bayesian computation methodology.
Ewan Flintham is a PhD student funded by the NERC CDT in Quantitative Methods and Modelling Skills in Ecology and Evolution, working on the project "The evolution of sexual behaviours: developing and testing biological models of non-reproductive sex, including homosexuality". His lead supervisor is Vincent Savolainen, and Ewan is based at the Imperial College Silwood Park campus.
Previous group members
Philip Maybank was an EPSRC PhD student working on statistical methods for neuroscience, whose thesis was entitled "Bayesian inference for stable differential equation models with applications to computational neuroscience". He focussed on new methods for parameter estimation for differential equation models of brain activity from EEG data, in collaboration with Ingo Bojak. Philip is blogging about his research here. He is now working at the Numerical Algorithms Group in Oxford. Philip has a linkedin account.
Richard Culliford was a PhD student, funded by the University of Reading and the Modernising Medical Microbiology consortium at the University of Oxford, whose thesis was entitled "A Sequential Monte Carlo Algorithm with Transformations for Bayesian model exploration: Applications in Population Genetics". He worked on sequential Monte Carlo for online Bayesian inference for the coalescent, and for Bayesian model comparison, collaborating with Daniel Wilson. Richard has a linkedin account.
Mark Bell was a postdoc on my EPSRC project "Tractable inference for statistical network models with local dependence”. He worked on improving Bayesian inference techniques for statistical models for networks. On leaving my group, Mark took up a post as Senior Statistician at the Transport Research Laboratory. Mark has has a linkedin account.
Changqiong Wang was an EPSRC PhD student whose thesis was entitled "Applications of Monte Carlo methods in studying polymer dynamics”. She used Bayesian statistics to fit statistical models to molecular dynamics data, and was co-supervised by Zuowei Wang and Patrick Ilg. Changqiong's research project was instigated by the brilliant physicist Alexei Likhtman, who tragically died several years ago. After finishing her PhD, Changqiong took up a post as Research Assistant in Data Science in the School of Agriculture Policy and Development at Reading, followed by working as a postdoc at Queen Mary University of London. Changqiong has a linkedin account.
Kevin Synnott was an MRes student funded by the EPSRC Mathematics of Planet Earth CDT, co-supervised by Heather Graven and Felipe Medina Aguayo, whose thesis was entitled "Inferring Gaussian Markov random field models for estimating the surface ocean dissolved CO2 distribution”. Kevin has a twitter account.
Paulina Rowinska was an MRes student funded by the EPSRC Mathematics of Planet Earth CDT, whose thesis was entitled "Approximate Bayesian Computation for expensive simulators”, co-supervised by Richard Sibly and Elske van der Vaart. Following her MRes, Paulina started her PhD at Imperial College, supervised by Almut Veraat. Paulina contributes to several blogs: here, here and here, and is also active on twitter.
Ellen Hermes was an MSc student whose thesis was entitled "Bayesian model selection for brain network models”. Ellen has a twitter account.
Melina Evdemon was an MSc student whose thesis was entitled “Approximate Bayesian Computation for Network Models”. She has a linkedin account.
In recent years I have focussed on developing the methodology of sequential Monte Carlo (SMC) and approximate Bayesian computation (ABC), motivated by applications in several fields. Particular focuses have been
- Bayesian inference for doubly intractable distributions, i.e. distributions with an intractable partition function such as Markov random field models (including exponential random graph models (ERGMs)).
- "Noisy" Monte Carlo methods, which approximate exact methods.
- Bayesian model comparison.
I was formerly a postdoc on the Modernising Medical Microbiology project at the University of Oxford, and before that a Brunel Fellow in Statistics under the SuSTaIn programme in the Department of Mathematics at the University of Bristol (where I also studied for my PhD under the supervision of Peter Green). Prior to this I was a researcher at QinetiQ, specialising in target tracking, signal and image processing and classification.
Links to all of my publications, and to my PhD thesis, can be found on my Google Scholar profile.