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.

Paul D. McNicholas, Associate Director, Ontario

Paul D. McNicholas

Paul D. McNicholas

Paul D. McNicholas is the Canada Research Chair in Computational Statistics at McMaster University, where he is a Professor and University Scholar in the Department of Mathematics and Statistics as well as Director of the MacDATA Institute, which is McMaster’s data science institute. He has published extensively in computational statistics, with the vast majority of his journal articles focusing on mixture model-based clustering and related topics. He also has extensive experience working with real data. He is a Senior Member of the IEEE and a member of the College of the Royal Society of Canada.

Mohammad Jafari Jozani, Associate Director, Manitoba/Saskatchewan/NWT/Nunavut

Mohammad Jafari Jozani

Mohammad Jafari Jozani

Mohammad Jafari Jozani is currently an Associate Professor with the Department of Statistics and an adjunct professor of Biomedical Engineering at the University of Manitoba in Winnipeg. His current research involves statistical learning problems with high dimensional aspects in biostatistics, engineering and sustainable energy; small area estimation as well as statistical inference with complex sampling designs using order statistics and rank information. The focal point of his research program is on developing new methodologies, models and computational tools to solve data driven problems in a variety of application domains. He has applied his research in areas such as breast cancer studies, BMD analysis and osteoporosis, mercury contamination in fish body, and recently in the calibration problems to design simulators for training purposes in order to make surgeries safer.

Karen Buro, Associate Director, Alberta/British Columbia/Yukon

Karen Buro

Karen Buro

Karen Buro is an Associate Professor in the Department of Mathematics and Statistics at MacEwan University and has been the chair of the department since 2013. She holds a PhD in Mathematics from Aachen University in Germany. Karen is passionate about statistics education and is a member of the Canadian Curriculum Working Group. Her research interests are in the mathematics of electoral systems and she enjoys an extensive number of collaborations with researchers from various disciplines.

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