Tim Whittle graduated with a degree in Engineering Science from Cambridge University in 1979 and joined Flopetrol – a well testing company. Having gained field experience and developed pressure derivative analysis methods, he moved into consulting roles performing reservoir engineering and pressure transient analysis studies as well as teaching and developing software. For the last ten years, he worked at BG Group (now Shell) where his last role was Chief Reservoir Engineering Advisor and Group Technical Authority in Well Testing and Pressure Transient Analysis. A SPE Distinguished lecturer (2010-11), he is now an independent consultant and Visiting Professor at Imperial College where his research interest is Multi-well Deconvolution.

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.