Jonathan A. Cumming is Lecturer in Statistics in the Department of Mathematical Sciences at Durham University and Director of SMCU. His research interests include statistical methods for well-test analysis, uncertainty analysis of complex models, statistical computation, and dimension reduction. He holds a BSc degree in Computer Science & Mathematics and a PhD in Statistics from Durham University.

Ian Jermyn received a BA Honours degree (First Class) in Physics from Oxford University, and a PhD in Theoretical Physics from the University of Manchester, UK. After working as a postdoc at the International Centre for Theoretical Physics in Trieste, Italy, he studied for and received a PhD in Computer Vision from the Computer Science department of the Courant Institute of Mathematical Sciences at New York University. He then joined the Ariana research group at Inria Sophia Antipolis, first as a postdoctoral researcher, and then as a Senior Research Scientist. Since September 2010, he has been Reader in Statistics in the Department of Mathematical Sciences at Durham University. His research concerns statistical geometry: the statistical modelling of shape and geometric structure, particularly using random fields with complex interactions and Riemannian geometry. This work is motivated by problems of shape and texture modelling in image processing, computer vision, and computer graphics. Using a Bayesian approach, it has been extensively applied to different types of images, including biological and remote sensing imagery. He is also interested in information geometry as applied to inference.