The Associate Directors represent 5 regions of Canada.
Alberta/BC: William Welch, University of British Columbia (continuing for 1-year term)
Will Welch joined the Department of Statistics, UBC as a Professor in 2003 and was Head of the Department from 2003 until 2008. Prior to that he was at the University of Waterloo for 16 years. He also holds the honorary title of Visiting Professor in the Business School, Loughborough University, UK.
Will’s research has concentrated on computer-aided design of experiments, quality improvement, the design and analysis of computer experiments, and the design and analysis of drug-discovery data from high-throughput screening. His service to the Canadian statistical community has included President of the Business and Industrial Statistics Section of the SSC, SSC representative to the Joint Statistical Meetings Program Committee, membership of the Canadian Statistical Institute Development Committee, and Associate Editor of the Canadian Journal of Statistics. He is currently the CANSSI board member representing Alberta and British Columbia.
Manitoba/Saskatchewan: Alexandre Leblanc, University of Manitoba (continuing for 3-year term)
Alexandre Leblanc obtained his Ph.D. in Statistics from the Université de Montréal. He is an Associate Professor in the Department of Statistics at the University of Manitoba in Winnipeg, which he joined in 2003. His research interests are mainly focused on nonparametric function estimation using frequentist and Bayesian methods, including adaptive methods, robustness, asymptotic properties and limit laws. Recently, he has started to work on nonparametric estimation methods based on combinatorial arguments and different concepts of depth for sampled multivariate data and curves.
He has been a member of the Statistical Society of Canada (SSC) since 2001, serving on many of its committees, including the Committee on Bilingualism, the Program Committee and the Research Committee. He has been a regional representative (elected) on the SSC board of directors (serving for two mandates, 2009-2011 and 2013-2015) and was Program Chair for the 2012 annual meeting of the Society in Guelph. Within the Canadian Institute of Statistical Sciences (CANSSI), he acts as regional Associate Director representing Manitoba and Saskatchewan.
Ontario: Mary Thompson, University of Waterloo (2-year term, current Scientific Director)
Mary Thompson, Scientific Director of CANSSI, is Distinguished Professor Emerita in the Department of Statistics and Actuarial Science at the University of Waterloo in Waterloo, Ontario. She holds a BSc from the University of Toronto, and an MS and PhD from the University of Illinois. In recent years her research interests have focused on the analysis of data from complex surveys, statistical methods in the social sciences, and the design of survey data collection for public health research. She has collaborated in work on the spread of disease on contact networks, and in spatial analysis of environmental influences on health behaviour. She was a member of Statistics Canada’s Advisory Committee on Statistical Methods. She was President of the Statistical Society of Canada in 2003-2004. She has been awarded the Gold Medal of the Statistical Society of Canada (2003), the Waksberg Award (2008), the Elizabeth L. Scott Award (2010), and the Lise Manchester Award (2012). She was elected Fellow of the Royal Society of Canada in 2006.
Quebec: Erica Moodie, McGill University (3-year term)
Erica Moodie (PhD 2006, University of Washington) is an Associate Professor of Biostatistics and a William Dawson Scholar in the Department of Epidemiology, Biostatistics, and Occupational Health at McGill University. Her main research interests are in causal inference and longitudinal data with a focus on dynamic treatment regimes. She is an Elected Member of the International Statistical Institute, an Associate Editor of Biometrics and the Journal of the American Statistical Association, and currently holds a Chercheur-Boursier junior 2 career award from the Fonds de recherche du Québec-Santé.
Atlantic: Hugh Chipman, Acadia University (continuing for 1-year term)
Hugh Chipman is a Canada Research Chair in Mathematical Modelling at Acadia University, and director of the Acadia Centre for Mathematical Modelling and Computation. He was Electronic Services Manager for the Statistical Society of Canada from 2009 to 2011, and local arrangements chair for the SSC 2011 meeting. He was Editor of Technometrics from 2011-2013. His research interests include statistical learning, Bayesian computation, industrial statistics and applied statistics. He has worked on applications ranging from drug discovery to network modelling. He obtained a PhD from the University of Waterloo in 1994, and has held faculty positions at the University of Chicago and University of Waterloo.