Summary
Michael Salter-townshend is an Associate Professor of Statistics at University College Dublin with 14+ years of experience applying Bayesian and scalable computational methods to problems in population genetics, network analysis, and palaeoclimate reconstruction. He directs UCD’s MSc and Professional Diploma in Data Science, delivering part-time online postgraduate training that bridges academic research and industry practice. His research blends MCMC, Variational Bayes and Gaussian approximation techniques (e.g., INLA) to make richly parameterized models practical for large datasets, with notable work on modelling admixture and multivariate zero-inflated spatial counts. A former postdoc in Oxford’s Simon Myers group, he brings domain expertise in genetic admixture inference that informs applications in disease association and demographic history. He combines deep methodological development with real-world teaching and programme leadership, and often focuses on making advanced inference methods computationally efficient for applied scientists.
14 years of coding experience
8 years of employment as a software developer
Ph.D, Statistics, Ph.D, Statistics at Trinity College