Speakers

Prof. Stephen Senn, Luxembourg Institute of Health

stat-net-18-von-18Stephen Senn has worked for the NHS in England, as a lecturer in Scotland (Dundee), as a statistician in the Swiss Pharmaceutical Industry and was subsequently a professor at UCL and Glasgow. He is currently head of Methodology and Statistics at the Luxembourg Institute of Health. He is the author of the monographs Cross-over Trials in Clinical Research (1993,2002), Statistical Issues in Drug Development (1997,2007) and Dicing with Death (2003). He was awarded the George C Challis prize for biostatistics of the Univeristy of Florida in 2001, and the Bradford Hill Medal of the Royal Statistical Society in 2009, but his proudest professional achievement is having led the Royal Statistical Society team that reached the finals of University Challenge, The Professionals in 2006. 

Prof. Michael Goldstein, Durham University

mgMichael Goldstein has worked throughout his career on the foundations, methodology and applications of Bayesian statistics. With a series of EPSRC grants, he developed the approach termed Bayes linear analysis, which is similar in spirit to full Bayesian analysis, but is appropriate for problems too complicated for full probabilistic specification. Over the last 20 years, he has applied this approach to uncertainty analysis for large scale systems modelled via complex simulators, with funding from EPSRC, NERC, MRC, Leverhulme and Industrial contracts.

Dr. Richard Morey, Cardiff University

morey_richard_moreywebRichard Morey is a Senior Lecturer in the School of Psychology at the Cardiff University. In 2008, he earned a PhD in Cognition and Neuroscience and a Masters degree in Statistics from the University of Missouri. He is the author of over 50 articles and book chapters, and in 2011 he was awarded the Netherlands Research Organization Veni Research Talent grant Innovational Research Incentives Scheme grant for work in cognitive psychology. His work spans cognitive science, where he develops and critiques statistical models of cognitive phenomena; statistics, where he is interested in the philosophy of statistical inference and the development of new statistical tools for research use; and the practical side of science, where he is interested in increasing openness in scientific methodology. Dr. Morey is the author of the BayesFactor software for Bayesian inference and writes regularly on methodological topics at his blog.