Directorate

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The Directorate manages the day-to-day operations of CANSSI. The members of the Directorate are the Director, the Deputy Director, and Associate Directors for Atlantic Canada, Quebec, Ontario, Manitoba/Saskatchewan/NWT/Nunavut and Alberta/British Columbia/Yukon. The Associate Directors elect two from amongst themselves to be voting members of the Board of Directors. The directorate makes funding recommendations for workshops requesting less than $20,000, after obtaining reviews from arms-length referees.

Nancy Reid, Director

Nancy Reid

Nancy Reid

Nancy Reid is the Director of CANSSI.  She is University Professor and Canada Research Chair in Statistical Methodology at the University of Toronto.  Her research interests are in statistical theory, likelihood inference, and design of studies.  Along with her colleagues she has developed higher order asymptotic methods both for use in applications, and as a means to study theoretical aspects of the foundations of inference, including the interface between Bayesian and frequentist methods.  She is interested in a number of substantive areas, including inference from large-scale surveys, environmental epidemiology, and high-energy physics.

She served on the scientific advisory panels of the National Program on Complex Data Structures, the Centre de Recherches Mathématiques, the Fields Institute for Research in the Mathematical Sciences, the Pacific Institute for Mathematical Sciences, and the Banff International Research Station.  From 2010 through 2012 she chaired the steering committee for the Long Range Plan for Mathematical and Statistical Sciences Research in Canada, which was published in December 2012.

She is a past-president of the Statistical Society of Canada and the Institute of Mathematical Statistics (IMS), and a past member of NSERC Council.  She is a Fellow of the RSC, AAAS, IMS, and the American Statistical Association.  Her awards include the Krieger-Nelson prize of the Canadian Mathematical Society and the Gold Medal of the Statistical Society of Canada.

W. John Braun, Deputy Director

W. John Braun

W. John Braun is the Deputy Director of CANSSI. He holds a Ph.D. (1992) in Statistics from the University of Western Ontario. He is Professor of Statistics and Head of the Departments of Computer Science, Mathematics, Statistics and Physics in the I.K. Barber School of Arts and Sciences at UBC’s Kelowna campus. Prior to this appointment, he held faculty positions at the University of Winnipeg and at the University of Western Ontario, serving as Chair of the Statistics Graduate Program for several years.

Braun’s research interests lie in the area of nonparametric estimation and stochastic modelling of data arising in ecology, zoology, medicine, and psychology. He also has an interest in the statistical programming language R, publishing two books on it with Cambridge University Press. He has also given short courses on R and related topics to a variety of audiences including the Biology Department at the University of Windsor,
the Alberta Government’s Department of Environment and Sustainable Resource Development, Simon Fraser University, Beijing Jiaotong University and the South China University of Technology. Braun was a co-winner of the Canadian Journal of Statistics Best Paper Award in 2005. He served as Program Chair for the 2007 Statistical Society of
Canada Meetings and delivered the 2009 Gordon Ashton Memorial Lecture in Guelph. Braun has led or co-led several workshops at both the Fields Institute and at BIRS; his most recent workshop, Managing Fire on Populated Forest Landscapes held in Banff in October, 2013 centred on the application area that he has been most interested in recently: wildfire science. In this connection, he has led interdisciplinary research teams sponsored by grants from the National Program for Complex Data Structures, the MITACS NCE, and the GEOIDE NCE. He is currently a co-leader of the CANSSI CRT on Evolving Marked Point Processes with Application to Wildland Fire Regime Modelling.

Joanna Mills Flemming, Associate Director, Atlantic

Joanna Mills Flemming

Joanna Mills Flemming

Joanna Mills Flemming is an Associate Professor in the Department of Mathematics and Statistics at Dalhousie University. She is a member of the International Scientific Advisory Committee for the Ocean Tracking Network (OTN), the Data Management Committee for OTN, and the Ransom Myers Legacy Committee at Dalhousie University. She is the team leader for the “Advancements to state-space models for fisheries science” CANSSI CRT. She is also the associate editor of the Canadian Journal of Statistics and is finishing her term as a regional representative on the SSC’s Board of Directors. Joanna’s research interests centre on the development of statistical methodology for data exhibiting spatial and/or temporal dependencies with a particular interest in what is important for marine ecology, and more broadly, environmental science. She has also recently become interested in how statistics are being used to help solve problems in Biomedical Engineering.

Erica Moodie, Associate Director, Québec

Erica Moodie

Erica Moodie

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.

Mary Thompson, Associate Director, Ontario

Mary Thompson

Mary Thompson

Mary Thompson 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.

Alexandre Leblanc, Associate Director, Manitoba/Saskatchewan/NWT/Nunavut

Alexandre Leblanc

Alexandre Leblanc

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.

Gemai Chen, Associate Director, Alberta/British Columbia/Yukon

Gemai Chen

Gemai Chen

Gemai Chen is a Professor of Statistics at the Department of Mathematics and Statistics, University of Calgary. Since obtaining his PhD degree from Simon Fraser University in 1991, Gemai has worked at the University of Waterloo, the University of Regina, and the University of Manitoba before joining the University of Calgary. Gemai’s research interests include parametric & non-parametric regression, non-linear time series modelling of environmental changes, financial & economic model building and forecasting, and quality control.

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