Dr Nick Tawn
Email: n dot tawn dot 1 at warwick dot ac dot uk
I am an Associate Professor at the University of Warwick.
My research interests have mostly focussed on developing scalable Monte Carlo methodology for use in complex Bayesian settings; in particular MCMC and SMC techniques. I am also take a keen interest in the Machine Learning/Data Science literature with a view to using these methods to complement and accelerate the inference process.
More specifically my research has focussed on MCMC methodology in settings where the target distribution exhibits multi-modality. My PhD thesis, completed in 2017, was titled "Towards Optimality of the Parallel Tempering Algorithm". Since completion of my thesis I have continued to work on similar problems whilst writing up the ideas from my thesis for publication.
I am an obsessed cyclist, swimmer and runner and use the multi-modality of my adventures as algorithm inspiration!
My CV is available on request; just send me an email to the above address.