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Dr Nick Tawn


Office: D0.01

Email: n dot tawn dot 1 at warwick dot ac dot uk

I am a currently a post-doctoral researcher at the University of Warwick on the i-like programme. 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.

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