After beginning his career in 1996, Etienne Marceau is now a full professor at Laval’s School of Actuarial Science and visiting professor at the University of Lyon III since 2005. His teaching and research interests ocus on various actuarial themes, including risk theory, dependence modeling, and actuarial mathematics. He is the author of “Modélisation des risques en actuariat” (Springer 2013) and of more than forty scientific articles. As Co-chair of the ACT&RISK Laboratory, he has supervised five PhD students and fifteen MSc students, of which six have gone on to academic careers. He is a member of the editorial board of the actuarial journal, IME.

 

 

 

Karen Kopciuk is a Research Scientist in Population Health Research, CancerControl Alberta, Alberta Health Services and holds academic appointments in Oncology and Mathematics and Statistics at the University of Calgary. She obtained her PhD from the University of Waterloo in 2001 and completed a PDF in statistical genetics from the Samuel Lunenfeld Research Institute in 2003. Her research interests include genetic and disease risk estimation for families who carry a mutated gene as well as methods for metabolomics and other types of ‘omics’ data. Karen is active within the SSC Biostatistics Section and the UC Biostatistics group.

 

 

 

 

 

Hugh Chipman is Professor and Canada Research Chair at Acadia University’s Department of Mathematics and Statistics. He has just finished a three-year term as Editor of Technometrics. He has previously served the SSC as Electronic Services Manager (2009-2011) and as a member of the SSC Board of Directors (2007-2011). His research interests include industrial applications of statistics, statistical learning, big data, Bayesian methods and statistical computing.

 

 

 

Gail Ivanoff is Professor of Mathematics in the Department of Mathematics and Statistics at the University of Ottawa. Her research interests include multi-parameter stochastic processes, including martingale theory, renewal theory, survival analysis, and time series. She has served as Group Chair of NSERC Evaluation Group 1508 and as a member (ex officio) of the Long Range Plan Steering Committee for Mathematics and Statistics. With Andre Dabrowki and Andre Volodin, she also served on the first executive of the Probability Section of the SSC.

 

 

 

 

 

Rafał Kulik is an Associate Professor at the Department of Mathematics and Statistics, University of Ottawa. He obtained his MSc in mathematics from University of Ulm (Germany), and his PhD in mathematics from the University of Wroclaw (Poland). After postdoctoral experience at the University of Ottawa and Carleton University, he accepted a Lecturer position at the University of Sydney (Australia). In January 2008 he accepted a position at the University of Ottawa. His research interests include time series, especially with long memory and heavy tails; limit theorems for weakly and strongly dependent random variables; nonparametric curve estimation, wavelet methods; extreme value theory; with applications to econometrics and finance.

 

 

 

Peggy Ng received her PhD in Preventive Medicine and Biostatistics from the University of Toronto. She is a professor in Management Sciences and Applied Statistics at York University. Her research focus has been in biostatistics, experimental design, psychometrics and their applications in clinical trials, environmental health, quality of life in oncology, community health and e-health. Her recent research projects include best practice in patient care; panel data analysis in business and organizational data; and knowledge creation. Peggy was the President of the Southern Ontario Regional Association of the Statistical Society of Canada for multiple terms. She is now the Director of the School of Administrative Studies in the Faculty of Liberal Arts and Professional Studies.

 

 

 

Karla Fox is presently the Chief of the Data Analysis and Resource Center at Statistics Canada. She has worked in several government departments designing experiments, surveys and epidemiological studies. While working full time, she recently completed her doctorate at Queens University on the meta-analysis of survey data. Her research interests are in the analysis of complex survey data, meta-analysis, record linkage and micro-simulation.

 

 

 

Pierre Daoust has been Section Chief for the Special Surveys, Transportation and Technology Section of the Business Survey Methods Division at Statistics Canada since May 2011. He previously worked as a senior methodologist (1990-2011) and methodologist (1986-1990). He contributed to the development and implementation of financial surveys for enterprises, education surveys, the survey of employment, payrolls and hours, the census of agriculture and the census of population. He has a Bachelor’s degree from the cooperative program of the University of Ottawa with a specialisation in statistics and informatics and a Master’s degree in mathematics from Carleton University.