Keynote Speakers

Chris Holmes

Chris Holmes
University of Oxford

Chris Holmes is a Professor of Biostatistics and UK Medical Research Council (MRC) Programme Leader in Statistical Genomics. He holds a joint appointment between the Department of Statistics and the Nuffield Department of Medicine, University of Oxford. He is an Affiliate Member of the Big Data Institute, Li Ka Shing Centre for Health Informatics and Discovery, Oxford, and a faculty fellow of The Alan Turing Institute, London. He serves on the MRC’s Expert Panel in Stratified Medicine. His research interests surround the theory, methods, and applications of statistics to medical research. Particular interests are in Bayesian decision analysis, statistical machine learning, and model misspecification within stratified medicine. 

Louise Ryan

Louise Ryan
University of Technology, Sydney

After completing her undergraduate degree in statistics and mathematics at Macquarie University, Louise Ryan left Australia in 1979 to pursue her PhD in statistics at Harvard University in the United States.  In 1983, Louise took up a postdoctoral fellowship in Biostatistics, jointly between Dana-Farber Cancer Institute and the Harvard School of Public Health.  She was promoted to Assistant Professor in 1985, eventually becoming the Henry Pickering Walcott Professor and Chair of the Department of Biostatistics at Harvard.  Louise returned to Australia in early 2009 to take up the role as Chief of CSIRO’s Division of Mathematics, Informatics and Statistics.  In 2012, she joined UTS as a distinguished professor of statistics in the School of Mathematical Sciences.  Louise is well known for her contributions to the development of statistical methods for cancer and environmental health research.  She is loves the challenge and satisfaction of multi-disciplinary collaboration and is passionate about training the next generation of statistical scientists.    

Susan Murphy

Susan Murphy
Harvard University

Susan A. Murphy is  Professor of Statistics,  Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences and Radcliffe Alumnae Professor at the Radcliffe Institute at Harvard University.   Her lab focuses on  improving sequential, individualized, decision making in health, in particular on clinical trial design and data analysis to inform the development of personalized just-in-time adaptive interventions in mobile health.  Her work is funded by the National Institutes of Health, USA.    

Susan is a Fellow of the Institute of Mathematical Statistics, a Fellow of the College on Problems in Drug Dependence, a former editor of the Annals of Statistics, a member of the US National Academy of Sciences, a member of the US National Academy of Medicine and a 2013 MacArthur Fellow.

Thomas Lumley

Thomas Lumley
University of Auckland

Thomas Lumley is Professor of Biostatistics at the University of Auckland, and Affiliate Professor of Biostatistics at the University of Washington.  His research covers a wide range of topics in biostatistics, including genomics, the design and analysis of complex epidemiological studies, meta-analysis, and statistical computing and graphics.  He writes about statistics in the media at statschat.org.nz.

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