Dr. Michael Evans

Michael Evans is a Professor of Statistics at the University of Toronto. He received his Ph.D. from the University of Toronto in 1977 and has been employed there ever since with leaves spent at Stanford University and Carnegie Mellon University. He is a Fellow of the American Statistical Association, he served as Chair of the Department of Statistcs 1992-97, Interim Chair 2022-23 and as President of the Statistical Society of Canada 2013-2014. He has served in a number of editorial capacities as follows: Associate Editor of JASA Theory and Methods 1991-2005, Associate Editor of the Canadian Journal of Statistics 1999-2006 and 2017-present, Associate Editor of the journal Bayesian Analysis 2005-2015, and as an Editor 2015-2021, Subject matter Editor for the online journal FACETS (current) and Associate Editor of the New England Journal of Statistics in Data Science (current).

Michael Evans’ research has been concerned with multivariate statistical methodology, computational statistics, and the foundations of statistics. A current focus of research is the development of a theory of inference based upon an explicit definition of how to measure statistical evidence and the development of tools to deal with criticisms of statistical methodology associated with its inherent subjectivity. He has authored, or coauthored, numerous research papers as well as the books Approximating Integrals via Monte Carlo and Deterministic Methods (with T. Swartz) published by Oxford in 2000, Probability and Statistics: The Science of Uncertainty (with J. Rosenthal) published by W.H. Freeman in 2004 and 2010 and Measuring Statistical Evidence Using Relative Belief published by CRC Press/Chapman and Hall in 2015.