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Dr Giorgos Vasdekis

I am a Research Fellow, working with Dr. Richard Everitt on likelihood-free inference problems, using ABC techniques.

Academic Background:

I received my PhD from the University of Warwick in 2021. Before that, I finished my B.Sc. in Mathematics at the University of Athens in 2015 and I received a MASt from the University of Cambridge in 2016.

Research Interests:

I am generally interested in Markov Chain Monte Carlo (MCMC) techniques and their applications in Bayesian Statistics. Currently, I am working on using gradient methods to generate more efficient Approximate Bayesian Computation (ABC) algorithms. I am also working on model misspecification problems. At the same time, I am very interested in using Piecewise Deterministic Markov Processes for MCMC.


G. Vasdekis and G. O. Roberts, "Speed Up Zig-Zag", 2021. Under revision.


G. Vasdekis and G. O. Roberts, "A Note on the Polynomial Ergodicity of the One-Dimensional Zig-Zag process", 2022. To appear in Journal of Applied Probability.

J. Watson, R. Boyd, R. Dutta, G. Vasdekis, N. Walker, S. Roy, R. Everitt, K. Hyder, R. Sibly, "Incorporating environmental variability in a spatially-explicit individual-based model of European sea bass", 2022. Ecological Modelling.

Reading Group:

Along with Lionel Riou-Durand we are organising a reading group on Piecewiese Deterministic Markov Processes.

Along with Richard Everitt we are organising a reading group on Bayesian Computation.