Board of Directors

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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 representatives of the scientific and stakeholder communities. Election for the Board of Directors takes place at the Annual General Meeting.

Michael Boehnke (member-at-large, term ends 2020)

Michael Boehnke

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.

Donald Estep (Scientific Director of CANSSI)

Don Estep

Donald Estep is the Scientific Director of CANSSI. He recently joined the Department of Statistics and Actuarial Science at Simon Fraser University, moving from the Department of Statistics at Colorado State University, where he was Department Chair, University Distinguished Professor and University Interdisciplinary Research Scholar. His research interests include uncertainty quantification for complex physics models, stochastic inverse problems, adaptive computation, and modeling of multiscale systems. Working with his collaborators, he has developed a systematic approach to a posteriori error estimation for simulations of complex systems, efficient numerical methods for uncertainty quantification for physical models, and theory and solution of inverse problems for stochastic parameters in physical models. His application interests include ecology, materials science, detection of black holes, modeling of fusion reaction, analysis of nuclear fuels, hurricane wave forecasting, flow in porous media, and electromagnetic scattering. His research has been supported by a multiple government agencies and national laboratories.

Don has served on several scientific advisory panels for the U.S. National Science Foundation and Department of Energy and on the Sandia National Laboratories CISE External Review Board and has co-authored several reports. He has served as the (founding) Chair of the SIAM Activity Group on Uncertainty Quantification, (founding) Co-Editor in Chief of the SIAM/ASA Journal on Uncertainty Quantification, and as SIAM representative to the Governing Board of SAMSI. His awards include Fellow of the Society for Industrial and Applied Mathematics, the Computational and Mathematical Methods in Sciences and Engineering (CMMSE) Prize, and the Chalmers Jubilee Professorship of Chalmers University of Technology.

Mark Girolami (member-at-large, terms ends 2021)

Mark Girolami

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.

Joan Hu (member-at-large, term ends 2020)

Joan Hu

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 (member-at-large, term ends 2022)

Paul Kovacs
Paul Kovacs

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.

Adrian Levy (member-at-large, term ends 2022)

Adrian Levy
Adrian Levy

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.

Lisa Lix (member-at-large, term ends 2022)

Lisa Lix

Lisa Lix, PhD, is Professor and Tier I Canada Research Chair in the Department of Community Health Sciences, Max Rady College of Medicine, at the University of Manitoba, Director of the Data Science Platform in the George and Fay Yee Centre for Healthcare Innovation, and Senior Scientist at the Manitoba Centre for Health Policy at the University of Manitoba. Her research interests include health services research methodology, quality of administrative health databases, the analysis of repeated measures and longitudinal data, and robust statistical methods for patient-reported outcomes. Lisa has previously served as a member of the CANSSI Health Sciences Committee and is lead of the CANSSI-funded Manitoba Statistical and Health Sciences Collaborating Centre. Lisa has been actively involved with the Statistical Society of Canada since 2005 in various capacities, including President of the Biostatistics Section in 2010 and Program Chair in 2019. As well, her involvement with the American Statistical Association includes a term as Program Chair for the Health Policy Statistics Section and on the Scientific Committee of the International Conference on Health Policy Statistics.

Farouk Nathoo (member-at-large, term ends 2021)

Farouk Nathoo

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 (member-at-large, term ends 2020)

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.

Laxmi Sushama (member-at-large, term ends 2022)

Laxmi Sushama

Laxmi Sushama is Professor in the Department of Civil Engineering and Trottier Chair in Sustainability in Engineering and Design at McGill University. She has held a Tier II Canada Research Chair in Regional Climate Modeling, leveraging her research expertise in engineering hydrology, water resources engineering, climate science and regional earth system modelling. By integrating high-latitude land-atmosphere processes, feedbacks and interactions into climate models, her research strongly influenced regional climate modelling applications for cold regions. Her current research also focuses on climate-sustainability nexus with a special emphasis on urban environments, climate resilience of infrastructure and sustainability in engineering design. She has also led major Networks, including the most recent NSERC-funded Canadian Network for Regional Climate and Weather Processes.

Wesley Yung (Chair of the Board of Directors, term ends 2020)

Wesley Yung
Wesley Yung

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.

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