Simon Jackman is a political scientist and statistician, formerly at Stanford University and subsequently at the University of Sydney. He has contributed to the adoption of Bayesian and MCMC methods in quantitative political science, with well-known pedagogical treatments of Gibbs sampling and Metropolis-Hastings and applications to ideal-point estimation in legislative bodies.