The Board of Directors is responsible for overseeing all the activities and affairs of CANSSI, including approving the appointments of the Director and the Deputy Directory, and advising on strategic planning and on governance. The Board meets twice a year, in December and at the time of the Annual General Meeting, typically late May or early June. The voting members of the Board of Directors are the Director of CANSSI; two of the Associate Directors of CANSSI, chosen by the Associate Directors; the Directors of the Pacific Institute for the Mathematical Sciences, the Fields Institute for Research in Mathematical Sciences and the Centre de recherches mathématiques; two elected members from universities which are institutional members of CANSSI; and six to nine other elected representatives of the scientific and stakeholder communities. Election for the Board of Directors takes place at the Annual General Meeting.
Michael Boehnke is the Richard G. Cornell Distinguished University Professor of Biostatistics and Director of the Center for Statistical Genetics and Genome Science Training Program at the University of Michigan. His research focuses on development and application of statistical designs and analysis methods for human genetics, with emphasis on identification of genetic variants that predispose to human diseases and traits. He is a principal investigator of the FUSION study of the genetics of type 2 diabetes (T2D), steering committee chair of the T2D-GENES multiethnic genome sequencing consortium, and a PI of the Accelerating Medicines Partnership T2D Knowledge Portal project, the BRIDGES bipolar disorder sequencing project, and the InPSYght schizophrenia and bipolar sequencing project. He is a member of the National Academy of Medicine and a fellow of the American Statistical Association and the American Association for the Advancement of Science.
Charmaine Dean is Professor and Dean of Science at Western University. Her leadership at Western’s Faculty of Science has a focus on accelerating research within the faculty, enhancing and fortifying collaborations with other faculties, with industry, government agencies and the broader community, as well as supporting a superb training environment for students. Dean’s involvement in CANSSI stems from her interest in supporting the strong community in statistics in Canada and her cross-sectoral and multi-disciplinary perspective, which is a base from which statistics reaches out and makes impact in other disciplines. She is also interested in the growing area of analytics, especially big data analytics, as it pertains to health care, spatial methods, environmetrics and machine learning. Dean views it as important that statistical scientists develop collaborations across a variety of disciplines with which this area intersects and takes leadership for shaping this important area of research.
Dean received her B.Sc. from the University of Saskatchewan in 1980, and her M.Math and Ph.D. degrees from the University of Waterloo in 1984 and 1988. She was 2007 President of the SSC, 2002 President of the International Biometrics Society, has served as President of the Biostatistics Section of the Statistical Society of Canada in 1998-2001, and has given ten years of service to NSERC. She has served on the Research Advisory Council and on various selection panels for the Michael Smith Foundation for Health Research. She serves on the NIH Biostatistics Grant Review Panel; on the Board of Directors of PIMS; on the Board of Directors of the Banff International Research Station; and is a member of the College of Reviewers of the UK Engineering and Physical Sciences Research Council and of the MITACS College of Reviewers. She has served on several editorial boards and is currently Associate Editor of Biometrics, of Environmetrics, of Statistics in Biosciences and Senior Editor of Spatial and Spatio-temporal Epidemiology.
Mark Girolami holds the Chair of Statistics within the Department of Mathematics at Imperial College London where he is also Professor of Computing Science in the Department of Computing. He is an adjunct Professor of Statistics at the University of Warwick and is Programme Director at the Alan Turing Institute where he served as one of the original founding Executive Directors. He is an elected member of the Royal Society of Edinburgh and previously was awarded a Royal Society – Wolfson Research Merit Award. Mark has held an EPSRC Research Fellow continuously since 2007 and in 2018 he was awarded the Royal Academy of Engineering Research Chair in Data Centric Engineering. His research focuses on applications of mathematical and computational statistics such as Machine Learning.
Arvind Gupta is a Professor of Computer Science at the University of British Columbia (UBC), and a Distinguished Visiting Professor at the University of Toronto. He has served as President and Vice- Chancellor of UBC, and as the CEO and Scientific Director of Mitacs Inc., Arvind has published extensively on computational genomics and national innovation and industrial strategies.
Arvind is well known as a Social Entrepreneur with a solid track record for initiatives to improve Canadian productivity and competitiveness by successfully enhancing workforce skills through industry and academic partnerships. As CEO of Mitacs Inc., he achieved international success for interweaving graduate education with business and socio-economic needs by bringing together 60 universities with more than 1,000 industrial partners.
Arvind was instrumental in creating the Pacific Institute for the Mathematical Sciences (PIMS) and the Banff International Research Station in Mathematical Innovation and Discovery (BIRS). He is a Senior Fellow of the Asia–Pacific Institute, and a Member of the Government of Canada’s Science, Technology and Innovation Council (STIC). He serves on the Boards of the India-Canada Research Centre of Excellence (IC-IMPACTS) and BIRS.
Joan Hu received her PhD in statistics at University of Waterloo in 1995 under the supervision of Jerry Lawless. She was a faculty member at University of Memphis (1998-2003) and an adjunct faculty member at St. Jude Children’s Research Hospital (2000-2003), following her research experiences with Health Canada and Harvard School of Public Health. She joined Department of Statistics and Actuarial Sciences at Simon Fraser University in 2003, and is now a Professor of Statistics.
Joan obtained an NSERC Discovery Accelerator Supplement (DAS) (2016-2019), an NSERC University Faculty Award (2003-2008), the Frank Wilcoxon Prize of 1998 (jointly with JF Lawless), and the Pierre Robillard Award of 1996. She is an American Statistical Association (ASA) fellow and an elected International Statistical Institute (ISI) member. She has served on the editorial boards of Canadian Journal of Statistics (2010-2012), Lifetime Data Analysis (2010-present), Statistical Papers (2011-2016) and Statistics in Biosciences (2009-present). She has served as a member on Committee on Women in Statistics (2015-2018), the President of Biostatistics Section (2013-2014), and an Alberta – British Columbia – Yukon Regional Representative of the Board of Directors (2011-2012) of Statistical Society of Canada (SSC), a member of the International Chinese Statistical Association (ICSA) Board of Directors (2010-2012), and a member of the Education Office Review Committee of Chinese Government Award for Self-Financed Students Abroad (2007-2012).
Paul Kovacs is adjunct research professor of Economics as well as founder and Executive Director of the Institute for Catastrophic Loss Reduction at Western University. He is also CEO of the Property and Casualty Insurance Compensation Corporation (PACICC). Since 1996, Paul has been a contributing author to the Intergovernmental Panel on Climate Change. The Panel won the 2007 Nobel Peace Prize “for their efforts to build up and disseminate greater knowledge about man-made climate change”. He is Canada’s leading authority on insurance and climate change and has been a contributing author to numerous international and Canadian reports on reducing the risk of loss from earthquakes, flood and severe wind. He has written more than 200 publications and articles and he is a passionate champion for insurance, disaster resilience and adaptation to climate extremes.
Paul has worked in private industry, the public sector and academia. He is Co-Chair of the Infrastructure and Housing Working Group of Canada’s Adaptation Platform. He is Co-Chair of the Science and Technology Working Group of Canada’s Platform on Disaster Risk Reduction. Paul is also a member of a number of Boards and Advisory Panels. He is a proud husband and father, with a growing collection of bow ties.
Alexandre Leblanc is CANSSI’s Associate Director for Manitoba and Saskatchewan. He 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.
Adrian R. Levy PhD is Professor and Head of the Department of Epidemiology and Community Health at Dalhousie University and Nominated Principal Investigator for the Maritime Strategy for Patient Oriented Research SUPPORT Unit (MSSU). His academic interests lie in health services research and measurement and valuation, health technology assessment, pharmacoepidemiology, quality of life, and access to care. He is author of over 130 peer-reviewed publications and is the co-editor on the Springer Handbook of Health Services Research volumes on Comparative Effectiveness Research and on Data and Measures.
Farouk Nathoo received his PhD in statistics at Simon Fraser University in 2006 under the supervision of Charmaine Dean. He joined the Department of Mathematics and Statistics at the University of Victoria in 2006, and is now an Associate Professor and Tier 2 Canada Research Chair in Biostatistics for Spatial and High-Dimensional data. His research interests focus on Bayesian Methods, High-dimensional Data, Statistical Computation, Neuroimaging Statistics, and Machine Learning.
Farouk is currently co-leader of the CANSSI Collaborative Research Team: “Joint Analysis of Neuroimaging Data: High-dimensional Problems, Spatio-Temporal Models and Computation”, a statistical science team with three sites (UVic, UAlberta, Guelph/McMaster) focused on the development of new methods for the joint analysis of neuroimaging and genetic data. Farouk is currently serving as a member of the NSERC Mathematics and Statistics Evaluation Group (EG 1508, 2016-2019) and is also currently serving on the editorial board of the Canadian Journal of Statistics. He was a Member of the Organizing Committee for The Seventh International Workshop on the Perspectives on High-Dimensional Data Analysis, CMAT, Guanajuato, Mexico, June 2017; Member of the Local Organizing Committee, Organization for Human Brain Mapping (OHBM) Annual Meeting, Vancouver, British Columbia, June 2017; Member of the Organizing Committee, The Sixth International Workshop on the Perspectives on High-Dimensional Data Analysis, Fields Institute, May 2016; Member of the Organizing Committee for the BIRS Workshop on Mathematical and Statistical Challenges in Neuroimaging Data Analysis, January 2016; Program Co-Chair, for the Workshop on Applied Topology and High-Dimensional Data Analysis, University of Victoria, August 2015; Member of the Organizing Committee for the International Workshop on the Perspectives on High-dimensional Data Analysis III, Vancouver, May 2013; Program Co-Chair, for GEOMED 2011 a GeoMedical Systems and Spatial Statistics International Conference, Victoria, October 2011.
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.
Claudia Tebaldi has been a project scientist in the Climate Change Research section of the Climate and Global Dynamics laboratory at NCAR since October 2013 and she is Senior Science Advisor at Climate Central Inc. She holds a Ph.D. in Statistics from Duke University, and she was a postdoc and then a project scientist at NCAR from 1997 to 2007. From 2008 to 2013 she worked as a research scientist for Climate Central, a research and communication organization.
Her research focuses on the analysis and statistical characterization of climate change projections and their uncertainty, as derived from climate models, extending from the impacts on the physical climate system, with particular interest in the characterization of changes in extremes, to impacts on human and natural system, like agricultural yields, water resources, and health. She is also interested in the detection of observed changes and their attribution to anthropogenic influences. She was a lead author in WG1 of IPCC AR5, Chapter 12, Long Term Projections, Commitments and Irreversibility, and is a Lead Author for AR6, Chapter 12, Climate Information for Regional Impacts and Risk Assessment. She is a member of the Scientific Steering Committee of the International ad hoc Detection and Attribution Group and has participated in reviews and advisory panels for several national and international climate change related programs, among which the UK Hadley Center Science Review Group, the UK Climate Projection (UKCP18) Peer Review Panel, the US National Research Council Board on Atmospheric Science and Climate, the WCRP Working Group on Coupled Models.
Mary Thompson is currently CANSSI’s Associate Director for Ontario after serving as the Scientific Director from 2012-2015. She 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.
Wesley Yung is Director of the Business Survey Methods Division of Statistics Canada. He holds a BSc and MSc from Dalhousie University and a PhD, all in statistics, from Carleton University. He has over 25 years experience at Statistics Canada and has been involved in all aspects of Business and Household surveys. His research interests include variance estimation, integration of administrative data in surveys and collection research.