Anthony Davison

Anthony Davison is Professor of Statistics at the Ecole Polytechnique Fédérale de Lausanne, Switzerland. After obtaining a BA in mathematics at the University of Oxford in 1980, he obtained an MSc (1981) and PhD (1984) in statistics from Imperial College London. Before moving to his current post in 1996 he worked at the University of Texas at Austin, at Imperial College London, and the University of Oxford, where he also held an EPSRC Advanced Research Fellowship. He is a fellow of the American Statistical Association, of the Institute of Mathematical Statistics and of the Royal Statistical Society, and an elected member of the International Statistical Institute. In 2009 he was awarded a laurea honoris causa in statistical science by the University of Padova. His research interests cover a wide range of topics in statistical theory and methods, including statistics of extremes, likelihood theory and resampling methods. Since 2008 he has been editor of Biometrika.

Christl Donnelly

Professor Christl Donnelly received her doctorate from Harvard School of Public Health in Biostatistics.  After three years lecturing statistics at the University of Edinburgh, she joined Roy Anderson's Wellcome Trust Centre for Epidemiology of Infectious Disease in 1995.
She moved with colleagues to Imperial College London to form the Department of Infectious Disease Epidemiology in 2000.  She is now one of the PIs in the MRC Centre for Outbreak Analysis and Modelling within the Department. She has analysed epidemiological data and provided evidence to policymakers on BSE/vCJD, bovine TB, foot and mouth disease, SARS and influenza.
She is an author with Neil Ferguson of the book Statistical Aspects of BSE and vCJD: Models for Epidemics (1999) and with Sir David Cox of the book Principles of Applied Statistics (2011) as well as over 150 academic journal publications.

Peter Donnelly

Peter Donnelly is Director of the Wellcome Trust Centre for Human Genetics and Professor of Statistical Science at the University of Oxford. He grew up in Australia and on graduating from the University of Queensland he came to Oxford as a Rhodes Scholar.  He held professorships at the Universities of London and Chicago before moving back to Oxford in 1996. His early research involved stochastic models in population genetics before he became more interested in the statistical problems of biomedical genetics.  His current work focuses on understanding the genetic basis of common human diseases, human demographic history, bacterial evolution and infection, and the mechanisms involved in mammalian recombination. 

Peter played a major role in the HapMap project, an international collaboration that followed the Human Genome Project in studying genetic diversity in worldwide populations, and he currently chairs the Wellcome Trust Case Control Consortium (WTCCC), a large international collaboration studying the genetic basis of more than 20 common human diseases and conditions in over 60,000 people. He is a Fellow of the Royal Society and of the Academy of Medical Sciences.

Sophia Rabe-Hesketh

Sophia Rabe-Hesketh is a professor at the Graduate School of Education and Graduate Group in Biostatistics at the University of California, Berkeley. She is also Professor of Social Statistics at the Institute of Education, University of London. Her research interests are in generalized linear mixed models, latent variable models, and longitudinal data analysis.
She has developed a modeling framework called GLLAMM (Generalized Linear Latent and Mixed Modeling) and written a publicly available software package called gllamm (http://www.gllamm.org/) to estimate these models. The software has been used in over 400 different journals. Sophia Rabe-Hesketh has published six books, including "Generalized Latent Variable Modeling" and "Multilevel and Longitudinal Modeling Using Stata' (both co-authored with Anders Skrondal) and over 100 papers and book chapters. She is co-editor for Statistical Methods in Medical Research and associate editor for Psychometrika and Statistical Modelling.

John Storey

John Storey received his PhD in statistics with a PhD minor in genetics from Stanford University.  He has been a faculty member at UC Berkeley and University of Washington.  He is currently an Associate Professor at Princeton University in the Lewis-Sigler Institute for Integrative Genomics and the Department of Molecular Biology, where he and his lab develop and apply statistical methods for genomics.

Foreman Lecturer

Roderick J. Little

Roderick J. Little is Associate Director for Research and Methodology and Chief Scientist at the U.S. Census Bureau, and Richard D. Remington Collegiate Professor of Biostatistics at the University of Michigan, where he also holds appointments in the Department of Statistics and the Institute for Social Research. He has over 250 publications, notably on methods for the analysis of data with missing values and model-based survey inference, and the application of statistics to diverse scientific areas, including medicine, demography, economics, psychiatry, aging and the environment. In 2005, Little was awarded the American Statistical Association’s prestigious Wilks Medal for research contributions, and he gave the President’s Invited Address at the Joint Statistical Meetings. Little is an elected member of the International Statistical Institute and the Institute of Medicine of the U.S. National Academy of the Sciences, and a Fellow of the American Statistical Association and the American Academy of Arts and Sciences.