Andrew Golightly is Reader in Statistics at the School of Mathematics, Statistics and Physics at Newcastle University. He studied at Newcastle University, undertaking a masters in Mathematics and Statistics followed by a PhD in Bayesian Statistics. Since joining the Newcastle Statistics group as a Lecturer in 2006 he has worked on problems concerning computationally intensive Bayesian inference schemes for complex stochastic processes. He was awarded the biennial RSS Research Prize in 2009 for work at the interface between Statistics and Systems Biology.
Andrew's current research interests lie in the development of inference methodology for dynamical systems, with particular focus on jump processes and stochastic differential equations. He is especially interested in applications of Markov chain Monte Carlo and sequential Monte Carlo in the broad areas of epidemiology and systems biology.