Dr Simon Byrne

Position Research Fellow
Phone (external) (020) 7679 1223
Phone (internal) 41223
Email(*) simon.byrne
Themes Computational Statistics, Multivariate and High Dimensional Data, General Theory and Methodology

* @ucl.ac.uk 

Biographical Details

Simon Byrne

Simon Byrne is an EPSRC Postdoctoral Research Fellow in the Department of Statistical Science. He completed his PhD in 2011 at the University of Cambridge Statistical Laboratory under the supervision of Professor A. Philip Dawid.

Research Interests

Bayesian statistical theory, graphical models, information geometry, hierarchical Bayesian models, computational techniques related to all of the above.


  • "Optimizing the Integrator Step Size for Hamiltonian Monte Carlo" (with Michael Betancourt and Mark Girolami). 2014. arXiv:1411.6669.
  • "Geometry of Hamiltonian Monte Carlo" (with Michael Betancourt, Sam Livingston and Mark Girolami). 2014. arXiv:1410.5110.
  • "Structural Markov graph laws for Bayesian model uncertainty" (with A. Philip Dawid). Annals of Statistics, to appear. 2014. arXiv:1403.5689.
  • "Langevin diffusions and the Metropolis-adjusted Langevin algorithm" (with Tatiana Xifara, Chris Sherlock, Samuel Livingstone and Mark Girolami). Statistics & Probability Letters. 91:14–19. 2014. doi:10.1016/j.spl.2014.04.002. arXiv:1309.2983. MR3208109.
  • "Retrospective-prospective symmetry in the likelihood and Bayesian analysis of case-control studies" (with A. Philip Dawid). Biometrika. 101(1):189–204. 2014. doi:10.1093/biomet/ast050. arXiv:1202.2683. MR3180665.
  • "Geodesic Monte Carlo on embedded manifolds" (with Mark Girolami). Scandinavian Journal of Statistics. 40(4): 825–645. 2013. doi:10.1111/sjos.12036. arXiv:1301.6064. MR3145120.