Philip Dawid, Emeritus Professor of Statistics of the University of Cambridge, has made fundamental contributions to both the philosophical underpinnings and the practical applications of Statistics. His theory of conditional independence is a keystone of modern statistical theory and methods, and he has has demonstrated its usefulness in a host of applications, including computation in probabilistic expert systems, causal inference, and forensic identification. His co-authored book Probabilistic Networks and Expert Systems won the first DeGroot Prize for a published book in Statistical Science, and he was awarded the Royal Statistical Society's Guy Medal in Silver in 2001.
For many years Philip Dawid was Professor of Probability and Statistics at University College London. He has served as Editor of Biometrika and of the Journal of the Royal Statistical Society (Series B), and as President of the International Society for Bayesian Analysis. He is an Emeritus Fellow of Darwin College Cambridge.
Emeritus Professor of Statistics, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge
Interest and expertise
Statistics and Operational Research
Foundations of inference, Statistical causality, Forensic and legal statistics