Some iconI am a Richard Rado post-doctoral fellow in statistics at the University of Reading. My research focuses on likelihood-free methods for statistical inference, and in particular Approximate Bayesian Computation (ABC). Likelihood-free methods are used for complex models where the likelihood function and associated traditional methods of inference are unavailable. Instead they exploit repeated simulations from the model to learn about its parameters. My research focus in my current post is to extend these methods to be applicable to a wider range of applications.

As such I'm very open to discussing possible applied (or any other) collaborations!

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My full CV is here.