2020 Board of Directors Candidate List

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The June 18 Annual General Meeting will include a vote on new members of the Board of Directors.  Each member institution has one vote. Member institutions are encouraged to send a representative to the AGM.

The initial Board of CANSSI was formed in November 2012 by the Executive of the Statistical Society of Canada. Five years ago, CANSSI instituted a process of Board renewal, and proposed a slate of Board members to begin staggered terms of one, two or three years. Currently new Board members’ terms are 3 years. The Board Nominating Committee has selected five new candidates along with one candidate for renewal whose bios appear below.

Tim Hesterberg, Google

Tim Hesterberg is a Senior Data Scientist at Google. He previously worked at Insightful (S-PLUS), Franklin & Marshall College, and Pacific Gas & Electric Co.  He received his Ph.D. in Statistics from Stanford University, under Brad Efron, and is a Fellow of the American Statistical Association. He is author of the “Resample” package for R, Chihara and Hesterberg “Mathematical Statistics with Resampling and R” (2018), and “What Teachers Should Know about the Bootstrap: Resampling in the Undergraduate Statistics Curriculum”, The American Statistician 2015.

Karen Kopciuk, University of Calgary

Karen Kopciuk is a Research Scientist in the Department of Cancer Epidemiology and Prevention Research, Alberta Health Services and is an Adjunct Associate Professor at the University of Calgary (UC) in the Departments of Mathematics and Statistics, Oncology and Community Health Sciences (CHS). She is the Foundations Division lead, comprised of Biostatistics, Epidemiology and Medical Education, in the Department of CHS, as well as a member of the UC Biostatistics Centre executive. Karen has served in a number of roles with the Statistical Society of Canada, including president of the Biostatistics Section, Board member representing AB/BC/YT, Local Arrangements Co-chair for the 2019 Annual meeting and on numerous committees. The founding of the Rocky Mountain Data Science Network (RMDSN) in 2017 was co-led by Karen and UC colleague Rob Deardon as well as John Braun from University of British Columbia–Okanagan. RMDSN is a designated Health Science Collaborating Centre (HSCC) of the Canadian Statistical Sciences Institute (CANSSI) and has been active in promoting interdisciplinary research collaborations and internship opportunities for graduate students over the past three years. Karen’s research focuses on time-to-event models and variable selection methods with applications in genetics and cancer.

Shili Lin, Ohio State University

Shili Lin is Professor of Statistics at the Ohio State University (OSU) and the Co-Director of the Computational Health and Life Sciences Community of Practice in the Translational Data Analytics Institute at OSU. Her research interests include the development of statistical methods for genetic association studies, genetic epidemiology, cancer genomics and epigenomics, metagenomics, and bioinformatics. In addition to methodological work, she has collaborated with domain-area researchers to study a number of complex diseases including cancer, multiple sclerosis, and poodle epilepsy.

Shili has served the statistical profession in various capacities. While serving as the 2018 Caucus for Women in Statistics (CWS) President, she worked with the American Statistical Association (ASA) to establish the annual Florence Nightingale Day, an event to encourage high school students to pursue educational and career opportunities in statistics and data science. She has also served on the editorial boards of a number of journals, including as current Associate Editor (AE) of Biometrics and former AE of the Journal of the American Statistical Association. She has been a standing member in NIH Study Sections including Biostatistical Methods and Research Design. She is an elected member of the International Statistics Institute, a Fellow of the ASA, and a Fellow of the American Association for the Advancement of Science.

Eric Rancourt, Statistics Canada

Eric Rancourt is Director General of the Modern Statistical Methods and Data Science Branch at Statistics Canada. During his 30 years at Statistics Canada he has occupied several roles such as Director General of Strategic Data Management, Director of International Cooperation, Director of Corporate Planning, Head of research, Production manager of Survey Methodology Journal, and researcher. His main areas of work have been on building scientific processes and measurement frameworks, treatment of nonresponse, estimation, gathering, safeguarding and use of administrative and alternate data in statistical programs. He has been involved in many professional associations and has been an International Statistical Institute elected member for 16 years.

Nancy Reid, University of Toronto

Nancy Reid is the previous Scientific 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.

Xuebin Zhang, Environment and Climate Change Canada

Xuebin Zhang is a Senior Research Scientist with Environment and Climate Change Canada. His main research interest is in the past and future changes in the climate and the causes of climate change. Another of his interests is in the application of statistical analysis in climate research. He serves as a convening lead author for the Working Group I contribution to the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report, and was a lead author of previous IPCC assessment reports. He is a co-chair of the World Climate Research Program Grand Challenge on Weather and Climate Extremes. He also serves as a chair of the steering committee for International Meetings on Statistical Climatology.

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