President-Elect

John Brewster

John Brewster is a Professor and Head of the Department of Statistics at the University of Manitoba. He has served the SSC as Secretary, President of the Business and Industrial Statistics Section, Chair of the Publications Committee and as a regional representative on the Board of Directors. John obtained B.Sc. and Ph.D. degrees in mathematics from the University of British Columbia and an M.Sc. degree in mathematics from the University of Toronto. His main research interests are in experimental design, foundations of statistics, statistical decision theory and computer experimentation. He has consulted and collaborated with companies and organizations in Manitoba and has given a number of workshops on experimental design in the aerospace, agri-food, mining and semiconductor sectors. John is a former Director of the Statistical Advisory Service, former Director of the Institute of Industrial Mathematical Sciences and a past recipient of the Dr. & Mrs. H.H. Saunderson Award for Excellence in Teaching at the University of Manitoba.

Publications Officer

Wendy Lou

Wendy Lou is a Professor of Biostatistics and Statistics, and Head of the Division of Biostatistics in the Dalla Lana School of Public Health at the University of Toronto. She holds the Canada Research Chair in Statistical Methods for Health Care. Her work focuses on the development of statistical methodology for the study of chronic conditions and quality improvement, as well as on biomedical applications of the distribution theory of runs and patterns. She is currently an Associate Editor for Methodology and Computing in Applied Probability and for Statistics in BioSciences. After completing her Ph.D. at the University of Toronto, she was Assistant/Associate Professor in the Department of Biomathematical Sciences at the Mount Sinai School of Medicine, New York University, prior to returning to Toronto. She has served as Member of the Regional Advisory Board for ENAR of the International Biometric Society, as Chair of the Local Assistance Committee for the JSM in Toronto, as Organizer and Chair of various invited sessions at the SSC Annual Meetings and the JSM, as President of the Southern Ontario Regional Association (SORA) of the SSC, as SORA Representative to the ASA Council of Chapters, as Ontario Representative on the SSC Board of Directors, and as Program Chair for the 2009 SSC Annual Meeting in Vancouver.

Regional Representatives (Two-year terms)

Atlantic Provinces (One to be elected)

Gary Sneddon

Gary Sneddon has been a faculty member in the Department of Mathematics and Statistics at Memorial University since 1999, and is presently statistics director. He completed his PhD in statistics at Dalhousie University under the supervision of Chris Field, and was a postdoc in the Geophysical Statistics Project at the National Center for Atmospheric Research, supervised by Doug Nychka. He is a former organizer of the SSC Job Fair and has been an associate editor of Liaison. When he's not shovelling his St. John's driveway, he pursues research on models for correlated count data.

Ed Susko

Ed Susko is a Professor in the Department of Mathematics and Statistics at Dalhousie University. He received a B.A. in Mathematics from the University of Windsor, M.Sc. in Statistics from the University of British Columbia and a Ph.D. from the University of Waterloo. His research focus has been on statistical methods in molecular biology with a particular emphasis on molecular evolution. He has served on the Scientific Committee of NICDS and on the Pierre Robillard Committee. He is an Associate Editor of the Canadian Journal of Statistics and is on the editorial board of Systematic Biology.

Québec (Two to be elected)

Mylène Bédard

Mylène Bédard is a faculty member at the Department of Mathematics and Statistics of the University of Montreal since July 2007. After obtaining her B.Sc. in Actuarial Science at Université Laval in 2001, she pursued her graduate studies at the Department of Statistics of the University of Toronto. She was initiated to research by Thierry Duchesne, and obtained her M.Sc in Statistics in 2002. In 2006, she received a Ph.D. in Statistics for her work on the convergence of Metropolis algorithms, accomplished under the supervision of J.S. Rosenthal. She received the Pierre-Robillard Award and the Governor General's Gold Medal for her doctoral research. After her graduate studies, she flew to England to perfect her formation as a CRiSM postdoctoral fellow within the Department of Statistics of the University of Warwick, where she spent a year. Since she was appointed Assistant Professor, she pursues her work on Markov Chain Monte Carlo methods at University of Montreal.

Éric Marchand

Éric Marchand is currently professor and Chair of the Département de mathématiques at l'Université de Sherbrooke. Following his Ph.D. studies at l'Université de Montréal, he took up a position in 1990 at the University of New Brunswick before moving to Sherbrooke in 2004. He has been an active member of the SSC for several years as an organizer of sessions at the annual meeting, serving as a regional board member (2002–2006), as a member of The Canadian Journal of Statistics Award Selection Committee (2007–2008), and as a member of the Bilingualism Committee (2009–). His research interests focus on Bayesian methods, statistical inference and applied probability. His recent work addresses restricted parameter space problems, the use of balanced loss functions, and the study of runs in various Bernouilli sequences. He is currently co-editing an IMS collections volume in honour of Bill Strawderman, acting as an associate editor for the Journal of the Iranian Statistical Association and the Annales des Sciences mathématiques du Québec.

Fassil Nebebe

Fassil Nebebe is a Professor and Chair of the Department of Decision Sciences & MIS at Concordia University in Montreal. He has served as Managing Editor of Liaison - The Newsletter of the Statistical Society of Canada (2004–2007), and as President of the Statistical Society of Montreal (2002–2003. He is the founding President of the Statistical Society of Ethiopians in North America (SSENA, 1999–2002). Currently, his research focuses on methods using the bootstrap, heteroscedastic regression models and SEM in multi-group invariance analysis.

David Stephens

David Stephens is currently Professor in the Department of Mathematics and Statistics at McGill University, Montreal. After completing undergraduate (BSc Mathematics 1986) and graduate (Ph.D. Statistics 1990) at University of Nottingham UK, he moved to Imperial College London as Research Associate in the Department of Mathematics. In 1995 he became Lecturer in Statistics, progressed to Senior Lecturer, before moving to McGill in 2006. His research interests focus on Bayesian theory and applications and Bayesian computation, with applications in bioinformatics and statistical genomics, and time series. More recently, he has begun working on Bayesian biostatistics and causal methods, Bayesian nonparametrics, spatial point patterns, and is interested in applications in ecology, econometrics and medicine.

Ontario (Two to be elected)

S. Ejaz Ahmed

S. Ejaz Ahmed is Professor and Head of the Department of Mathematics and Statistics at the University of Windsor since 2002. He is a founding Director for Centre for Statistical Consulting, Research, Learning and Services (CSCRLS). Dr. Ahmed is an Fellow of American Statistical Association. He is an elected member of the International Statistical Institute, an Fellow of the Royal Statistical Society, and a member of the Statistical Society of Canada since 1987. He is the book review Editor of Technometrics. Dr. Ahmed serves as an Associate editor of several international statistical journals, including Computational Statistics and Data Analysis (CSDA) and Journal of Statistical Computation and Simulation (JSCS). He was a guest co-editor for Linear Algebra and its Applications (LAA). In the past, he served as a Board of Director and Chair of the Education Committee of the Statistical Society of Canada. He is co-author of a popular textbook Introduction to Probability and Statistics . Further, he co-edited two research volumes. His area of expertise includes statistical inference, asymptotic theory, statistical education and consulting. Further, he co-edited two volumes and organized many sessions and workshops. Recently, he co-authored a textbook on probability and statistics. He made over 100 invited scholarly presentations in various countries around the globe. He has served as as Chair of the Local Organizing Committee for the CMS and IWMS meetings in Windsor, and as Organizer and Chair of various invited sessions at the various international conferences/workshops/scientific meetings including SSC meeting in Regina, and a roundtable meeting at JSM.

Jack Gambino

Jack Gambino is the director of the Household Survey Methods Division of Statistics Canada. He obtained B.Sc. and M.Sc. degrees in mathematics from McGill University and a Ph.D. in statistics from the University of Toronto. He has served in several capacities in the SSC including associate editor of Liaison. Jack has been active in the local statistical community as well, serving a term as president of the Statistical Society of Ottawa. He is currently an assistant editor for Survey Methodology and is an elected member of the International Statistical Institute. His statistical interests include the methodology of sample surveys, Bayesian methods and statistical computing.

Mei Ling Huang

Mei Ling Huang is a Professor and chair of the Statistics Committee in the Department of Mathematics at Brock University. She obtained a Ph.D. from the University of Windsor. Her major research areas are in nonparametric inference, distribution theory and applied probability. She is a member of the SSC, ASA and IMS. Currently she serves as the Local SSC Representative at Brock University where she contributed to developing the undergraduate and graduate statistics programs. She has supervised a number of undergraduate and graduate students. She is a recipient of a Faculty Award of Excellence for Teaching, and a YWCA Women of Distinction Award in Science and Technology. She has consulted on a number of projects in the health sciences, business, science and related fields.

Changbao Wu

Changbao Wu is an Associate Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. His major research area is in survey sampling. He served as President of the Survey Method Section of SSC in 2005, and is the leader of the MITACS/NPCDS project on Statistical Methods for Complex Survey Data. He currently serves as an Associate Editor of Survey Methodology, The Canadian Journal of Statistics and Biometrika, and served in the Editorial Board of the Australian and New Zealand Journal of Statistics.

Manitoba-Saskatchewan-N.W.T.-Nunavut (One to be elected)

Dianliang Deng

Dianliang Deng obtained his Ph.D. in statistics from University of Windsor. Since July 2005, he has been an Associate Professor in the Department of Mathematics and Statistics at the University of Regina. His major research has focussed on the statistical inferences for the various types of data, which include the goodness of fit and score test in the over-dispersed and zero-inflated generalized linear models, the nonparametric maximum likelihood estimation for univariate and multivariate interval censored failure time data. Recently, his research interest is the analysis of medical cost data, temporal gene expression under the biological conditions and the model-based classification for multiple conditions on the gene expressions. His research interest also includes the limit theorems for the real-valued and Banach space-valued random variables. From July 2002, he has been serving as the local representative of the Statistical Society of Canada in the University of Regina.

Melody Ghahramani

Melody Ghahramani obtained her Ph.D. from the University of Manitoba, under the supervision of Aerambamoorthy Thavaneswaran in 2007. Since July 2007, she has been an Assistant professor in the Department of Mathematics and Statistics at the University of Winnipeg. Her research interests include inference using estimating functions with applications in finance and econometrics. She is also interested in developing methodology for censored correlated data. Currently, she is a member of the Committee on Membership of the SSC. She is also a member of the Local Organizing Committee for the 2010 Prairie Network for Research in Mathematical Sciences meeting.

Alberta - B.C. - Yukon (One to be elected)

Edit Gombay

Edit Gombay is Professor and Director of the Statistics Centre in the Department of Mathematical and Statistical Sciences at University of Alberta. She holds an undergraduate degree and a M.Sc. in Mathematics and Computer Science (1979) from University of Szeged, Szeged, Hungary. She obtained a Ph.D. in Statistics in 1986 from University of Calgary. Since 1987 Edit has been Assistant Professor, Associate Professor, and currently Professor in the (now) Department of Mathematical and Statistical Sciences of the University of Alberta. She ahs supervised 11 graduate students, and currently 3 graduate students are working under her supervision. Her research interests are in the areas of mathematical statistics, change-point problems, sequential methods, and their applications in various fields. In the SSC, Edit has served in the Committee of Women in Statistics, various Awards Committees, Committee for establishing a new award for applied statistics for work with significant practical impact, and Canadian Journal of Statistics Best Paper Award. In the Probability Section, Edit served as President Elect (2006–2007), President of Probability (2007–2008), and Past-President (2008–2009). Her services to the statistics profession includes Outside Adjudicator of four Ph.D. theses, Associate Editor of the journals Sequential Analysis and Statistical Methodologies, and has organized invited paper sessions at two SSC Annual Meetings, at an International Meeting.

Kevin Keen

Kevin Keen is an Associate Professor in Mathematics at the University of Northern British Columbia. He previously has held teaching and research positions with Case Western Reserve University (1999–2003), the University of Manitoba (1994–2004), and Royal Roads Military College (1989–1994). He served as Vice President (1996–1997) and President (1997–1998) of the Statistical Association of Manitoba. He served as Statistics sub-committee chair of the British Columbia Committee on the Undergraduate Program in Mathematics and Statistics and was the SSC's representative to this Committee (2005–2006). Currently for the SSC, he serves as Chair of the Committee of the Award for Case Studies in Data Analysis. His research interests have been focused in the development of novel methodology in the areas of multivariate statistics and survey sampling theory for the assessment of rater reliability and the study of the quantitative genetics of complex immune and inflammatory diseases. He has been a member of the SSC for over 20 years and a P.Stat. since 2005.

President-Elect

Yutaka Yasui

Yutaka Yasui is a Professor in the School of Public Health, University of Alberta, and a Canada Research Chair in Biostatistics and Epidemiologic Methods. He received a Bachelor of Engineering in Environmental Engineering from Kyoto University (Japan) and a PhD in Biostatistics from Johns Hopkins University. He has worked as an Instructor at Johns Hopkins University, as an Assistant and Associate Member/Professor at Fred Hutchinson Cancer Research Centre/University of Washington (Affiliate), prior to joining University of Alberta. His research is focused on developing and applying biostatistical and epidemiologic methods in the intersection of biology and clinical/public health sciences, especially on statistical problems in biomarker discovery research. He has been involved in over 60 peer-review-funded research projects and is an author of over 200 peer-reviewed publications. He served as a Regular Member in the Cancer Biomarker Study Section of the US National Institute of Health in 2004–2007 and currently serves for the Public, Community and Population Health Committee of the Canadian Institutes of Health Research. He received four awards at Johns Hopkins and University of Alberta for his teaching of biostatistics. He is the Biostatistics Corner Editor of Canadian Society for Epidemiology and Biostatistics Newsletters.

Secretary

Karen Kopciuk

Karen Kopciuk is a Research Scientist in the Department of Population Health Research, Alberta Health Services Ð Cancer Care and holds academic appointments in the Departments of Oncology and Mathematics and Statistics at the University of Calgary. Her research interests involve developing statistical methods and study designs for genetic and genomic applications. She obtained her Ph.D. from the University of Waterloo in 2001, where she worked under the supervision of David Matthews and then was a postdoctoral fellow for the next two years with Shelley Bull at the Samuel Lunenfeld Research Institute in Toronto. Karen served as a liaison between the SSC Biostatistics Section and other biostatistics-related societies for three years and as the Secretary for the Biostatistics Section since 2007. She has organized and chaired several Biostatistics and SSC-sponsored sessions in the past five years. Currently, she is a grant panel member of the AB Cancer Research Institute and the Tumour Biomarker panel of the Canadian Cancer Society Research Institute. Her favourite colour is red.

President-Elect

Boxin Tang

Boxin Tang (Ph.D. in statistics, University of Waterloo, 1992) is a Professor in the Department of Statistics and Actuarial Science at Simon Fraser University. Prior to joining SFU, he was an Associate Professor at the University of Memphis, where he received two NSF grants as a PI. Currently supported by NSERC, he was also awarded with a DAS (Discovery Acceleration Supplements) grant in 2009. His research interests are in industrial statistics and experimental design. He served as a Program Chair and Local Arrangement Chair for the 16th Spring Research Conference on Statistics in Industry and Technology. He is an elected Fellow of IMS, and a member of SSC, ASA and ICSA. He served as an AE for Annals of Statistics (2007–2009), has been serving as an AE for Statistica Sinica (2002 – present) and Journal of Statistical Theory and Practice (2006 – present).

Secretary

Mark Reesor

Mark Reesor is a tenure-track assistant professor and SHARCNET Research Chair in Financial Mathematics in the Department of Applied Mathematics at the University of Western Ontario. He is also cross-appointed in the Department of Statistical and Actuarial Sciences. Dr. Reesor studied Mathematics and Statistics at McGill University in Montreal, graduating with a Bachelor of Science in 1995, followed by a Master's in Mathematics (Statistics -- Co-operative Program, 1997)) and Ph.D. (Statistics) (2001) from the University of Waterloo. In addition to his academic experience at UWO (since 2002) Dr. Reesor has worked as an independent research consultant with some Canadian federal government ministries and also worked as an analyst in the Financial Markets Department at the Bank of Canada. Dr. Reesor's area of research is quantitative finance and he has been a member of the SSC since his days as a Ph.D. student at Waterloo. Recently Dr. Reesor organized two special invited sessions, sponsored by BISS, in finance at the SSC meetings in Vancouver (2009) and has organized numerous sessions and conferences during his time at UWO.

President-Elect

Hao Yu

Hao Yu is a Professor of Statistical and Actuarial Sciences at the University of Western Ontario. He is the Associated Chair of the Department from 2005- – present. His primary specializations are in the fields of Stochastic Process Modeling, Nonlinear Time Series, High Performance Statistical Computing and Applications of Parallel Computation. Dr. Yu's research in high performance computing includes the development of Rmpi package for R which allows parallel computing running on the high level statistical software R.

François Watier

François Watier is an Associate Professor and currently chair of graduate studies in the Department of Mathematics at the University of Quebec in Montreal. He obtained is Ph.D. degree at the University of Sherbrooke under the supervision of Jean Vaillancourt. His research interests include applied probability, stochastic control and mathematical finance. He is a loyal SSC member since his doctoral studies and a member of the Probability Section since its foundation.

David Haziza

David Haziza is an Assistant Professor in the Department of Mathematics and Statistics at the Université de Montréal. After receiving his B.Sc. and M.Sc. in Statistics from the Université du Québec à Montréal, he completed a Ph.D. at Carleton University under the supervision of J.N.K. Rao. While writing his PhD dissertation, he started a career as a survey methodologist at Statistics Canada. After six years as a full-time methodologist, he joined the Department of Mathematics and Statistics at the Université de Montréal. He currently spends one day per week at Statistics Canada, where he does some consulting, teaching and research. His research interests are in survey sampling, more specifically the problem of inference in the presence of missing data and in the presence of outliers. Currently, he is a member of the Student Presentation Award Committee.

Lenka Mach

Lenka Mach is a Senior Methodologist, Consultant and Researcher in the Data Analysis Resource Centre of Statistics Canada. Her first university degree is from the Prague School of Economics, followed by Master's and Ph.D. degrees in statistics from the University of New Brunswick in Fredericton. Since 1987 Lenka has worked at Statistics Canada, most of the time in the Business Survey Methods Division as a methodologist for many surveys and statistical programs. Her current research interests are in the analysis of complex survey data and sample coordination. She has been the Treasurer of the SSC Survey Methods Section since July 2006.

Peter Adamic

Peter Adamic, P.Stat., holds a Bachelor's degree in Actuarial Science from the University of Waterloo, with several years of corporate actuarial experience. He went on to complete Master's and Doctoral degrees in Statistics at the University of Guelph, specializing in the areas of survival analysis, statistical inference, nonparametric statistics, Bayesian statistics, and multivariate statistics. In 2007, Peter began a tenure-track faculty position in Statistics at Laurentian University, in the Department of Mathematics and Computer Science. At present, Peter's primary research focuses on developing nonparametric competing risks models in a variety of different censoring and masking environments.

John Amrhein

John Amrhein, P.Stat., has been Director of Operations at McDougall Scientific Ltd, a Contract Research Organization in the Pharmaceutical and Biotechnology sector, since April of 2008. As Director of Operations, John manages staff responsible for maintaining McDougall's computing infrastructure. He also designs and conducts data analyses as part of McDougall's core services. Prior to joining McDougall, John was Senior Statistician at SAS Institute in Toronto, where he was employed first as an instructor, and more recently as a consultant in the retail sector. John also spent 10 years with the United States Department of Agriculture in Washington, DC, where he designed sampling strategies for surveys of the U.S. agri-business sector. John holds several degrees; a BS in Forest Science from Penn State University, a MS in Forest Biometry from VA Polytechnic Institute, and a Master of Statistics from NC State University. He has served as the Program Chair of the local chapter of the SSC since 2006 and as a member of the Accreditation Committee since 2008. John was awarded the Professional Statistician designation from the Statistical Society of Canada in 2005 and has been a Certified Business Resilience Specialist and Auditor since 2009.

Tess Astatkie

Tess Astatkie, P.Stat., is Professor of Statistics at the Nova Scotia Agricultural College (NSAC). He received his B.Sc. and M.Sc. in Statistics from Addis Ababa University in Ethiopia, and his Ph.D. in Statistics from Queen's University in 1994. Tess conducts independent and collaborative research in several areas of statistics including nonlinear times series modeling, regression analysis, and design and analysis of experiments. He also provides statistical consulting service to faculty members and graduate students of NSAC, and occasionally to researchers from various departments of the Government of Nova Scotia. Tess has been active in international development projects. Currently, he is the Project Director of two CIDA funded projects, one of which is a Tier 1, 2008–2014, $3M project funded under the University Partnership program to enhance the capacity of one of the universities in Ethiopia. Tess has been a member of SSC and ASA for more than 15 years.

Cynthia Bocci

Cynthia Bocci, P.Stat., works as a mathematical statistician at Statistics Canada. She is an active member of the SSC, ASA and the Statistical Society of Ottawa where she served as secretary for four years. Currently, her involvement in the SSC includes chair of the Bilingualism Committee, secretary of the Survey Methods Section and a member of the Accreditation Committee and of the Committee of Women in Statistics. She received the Professional Statistician designation from the SSC in 2006. Her studies include a Ph.D. from the University of Ottawa in 1999, preceded by a B.Comm in Mathematics from McGill University and a M.Sc. in Statistics from Concordia University. Her current research interests in survey methodology include synthetic data creation for disclosure avoidance. She has recently been appointed assistant editor for the Survey Methodology journal. She currently seeks re-election to the Accreditation Committee and would very much appreciate the opportunity to serve the SSC members in this capacity.

Hélène Crépeau

Hélène Crépeau, P.Stat., is a professional consultant in the statistical consulting service in the Department of Mathematics and Statistics at Laval University since 1985. She obtained a B. Sc. (1978) in actuarial science from Laval University and a M. Sc. (1983) in statistics from the University of British Columbia. She has served on the Committee on Women in Statistics and on the Accreditation Committee of the SSC. She works with researchers of various fields: agriculture, biology, forestry, medicine, etc. Her collaboration has led to some publications in different journals.

Zoltan Harsanyi

Zoltan Harsanyi, P.Stat., is Director, Biostatistics and Data Management at Purdue Pharma in Pickering, ON. Previous positions included Manager of Biostatistics at Wyeth, Statistician at McNeil Pharmaceuticals, and Research Associate at McMaster University (Psychiatry, CE&B). He is a founding member of TABA (The Applied Biostatistics Association) and served as President, VP, Treasurer, and Membership Chair (at different times) and has been a member of ASA and SSC since about 1983. He has graduate degrees from McMaster University and the State University of New York at Buffalo and was awarded the P.Stat. in 2004 (no. 6). He has co-authored and provided the analysis for over 60 peer reviewed publications in the field of Clinical Research one of which recently won the Harold Mersky Award for 2009. He has previously served on the SSC Accreditation Committee.

Lisa Lix

Lisa Lix, P.Stat., is Associate Professor and Centennial Research Chair, School of Public Health and Associate Member, Department of Mathematics and Statistics at the University of Saskatchewan. Her research interests include the analysis of repeated measures and longitudinal data, robust statistics, and health services research methodology. Lisa collaborates widely on projects about population health and the association between chronic disease and quality of life. Her research is funded by the Canadian Institutes of Health Research (CIHR) and the Saskatchewan Health Research Foundation (SHRF). In 2009 she was named the Top New Socio-Health Investigator by SHRF. Lisa has served on the Board of the Statistical Society of Canada since 2005 in a variety of capacities and is currently President Elect of the Biostatistics Section. Since 2002, Lisa has served as a member of the Editorial Board of Journal of Modern Applied Statistical Methods and was recently named Associate Editor of Frontiers in Quantitative Psychology and Measurement.

Alberto Nettel-Aguirre

Alberto Nettel-Aguirre, P.Stat., is an Assistant Professor and the Statistician for the Research Methods Team in the Paediatrics Department at the University of Calgary (joint with Community Health Sciences). After his BSc in Applied Math at Instituto Tecnologico Autonomo de Mexico, he worked for ACNielsen in Mexico. He immigrated to Calgary for his MSc and PhD from the Department of Mathematics and Statistics at U of C. He did a one year postdoctoral fellowship at Acadia under Hugh Chipman's mentoring on large graph data and data mining. His research interests include social network analysis applications to population level interventions, biostatistics applications to child health outcomes research and is interested in formulating diagnostics for patterns of missing data. He has participated in several grants as part of multidisciplinary teams in child health. He received his P.Stat. from the SSC in 2007. He has participated in the ACH Foundation grants committee, and has performed scientific reviews for the Child Research Group at the Alberta Children's Hospital.

Peggy Ng

Peggy Ng, P.Stat., received a PhD in Biostatistics from University of Toronto with interests in experimental design, survey, application of statistics in problem solving and statistical consulting. She has worked in areas such as development of health measurement scales; panel data analysis in organizational data; and the use of soft approach for hard optimization models. Peggy's research awards include funding received from NIH and CIHR as principal and co-principal investigator. She is Professor in Applied Statistics and Management Science at York University. Service over the years includes Chair of SSC Case Studies, member of the SSC Awards Committee, member of the SSC Public Relations Committee, the president of Southern Ontario Regional Association (SORA), mentor of A.Stat., member of review committee for METRON International Journal of Statistics and International Program on Advances in Management Science and Risk Assessment. She is an assessor of SSHRC standard research grant applications and the use of Data Research Centres.

Mélanie Poulin-Costello

Mélanie Poulin-Costello (B.Math., M.Sc., P.Stat.) currently works in Research and Development at Amgen as Sr Manager of Biostatistics supporting multiple therapeutic areas in clinical trials as well as Health Technology Assessments and provincial drug reimbursement. Mélanie also currently teaches a statistics course at Humber College in the post-graduate clinical research associate program. Prior to Amgen, Mélanie was a Sr Statistician at Bayer Healthcare and statistical lead for phase II and III drug development in oncology. Mélanie completed her M.Sc. at University of Victoria and B.Math. at University of Waterloo. Mélanie is an accredited P.Stat. with the Statistical Society of Canada. From 2003 to 2008 Mélanie served on the executive of The Applied Biostatistics Association (TABA). In her spare time Mélanie paints and enjoys time with her husband and 3 children.

Dena Schanzer

Dena Schanzer, P.Stat., is currently a senior statistician at the Public Health Agency of Canada, working on various multi-disciplinary projects related to infectious diseases such as influenza and HIV. Prior to working in public health, she held various positions as an applied statistician in diverse areas such as economics, remote sensing and GIS applications, cancer research, and record linkage. She holds a M.Sc. in Mathematics (Statistics) from Carleton University and a B.Math (Statistics) from the University of Waterloo. She has served on the executive of the Statistical Society of Ottawa for over 10 years and continues to support the SSO. Other volunteer experiences include President of the Kanata Nordic Ski Club for over 5 years.

Stephen Smith

Stephen Smith, P.Stat., is a research scientist at the Bedford Institute of Oceanography in Dartmouth, Nova Scotia. He has been a member of the SSC since 1986 and has served two terms as Atlantic Provinces Representative (1987-1988, 1999 – 2000) and as well as member of the Accreditation Committee (2000 to 2003). In addition Stephen has organized a number of speaker sessions for the annual meetings of the SSC. Stephen was awarded his P.Stat in 2006. In addition, he has served as assistant editor of the ICES Journal of Marine Sciences (1991-1997), associate editor for the Canadian Journal of Fisheries and Aquatic Sciences (1997 to present) and has been a panel member/chair for a number of reviews conducted by US National Academies of Science, US National Fisheries Marine Service and other fisheries agencies. His current research focuses on the design and application of surveys for marine populations, application of population dynamic models and spatial analysis of species distribution as a function of characteristics of their environment (oceanographic conditions, geology, etc.).

Ying Zhang

Ying Zhang, P.Stat., is an Associate Profession in the Department of Mathematics and Statistics at Acadia University. Following a M.A. in Mathematics and a M.Sc. in Statistics, Ying received her Ph. D. in Statistics in 2002 at the University of Western Ontario. She worked as a statistical consultant in STATLAB at Western since 1999 then as the Manager until June, 2004. Since July 2004, Ying has been an Acadia faculty member and Director/Consultant of the Acadia Statistical Consulting Centre. Ying has been an SSC member since 1998, and the local SSC representative at Acadia (2008 – 2011). She served as a member of an SSC committee on Women in Statistics (2003 – 2008). Ying was awarded a P.Stat. in 2006. Her research interests are in time series analysis and applied statistics resulting from her statistical consulting. Currently her research focuses on probability distributions and statistical modeling on health research outcomes.

Edward J. Chen

Edward J. Chen, P.Stat., has been employed at Statistics Canada since 1986. He is a chief in the Household Survey Methods Division and devotes his career to the excellence of this program. He is currently responsible for sample control and maintenance for the Canadian Labour Force Survey and other household surveys. He holds a M.Sc. in Mathematics (Statistics) from Carleton University and is very active in the statistical and local communities. From July, 2005 to June, 2009, he was the Treasurer and a member of the Executive Committee of the SSC. In addition to having served in several SSC committees, he is currently an elected member of the SSC Accreditation Appeals Committee and also an Associate Editor of SSC Liaison. He was Treasurer of the Statistical Society of Ottawa from 1999 to 2003. Other volunteer experiences include President and Treasurer of Tunney's Daycare, Treasurer of Broadview School and member of parents' council of Lisgar Collegiate Institute in Ottawa for many years. He likes to spend his time with his two gifted kids and their friends.

Gemai Chen

Gemai Chen, P.Stat., is currently a professor in the Department of Mathematics and Statistics at the University of Calgary. After his MSc in Statistics (1988) and PhD in Statistics (1991) from Simon Fraser University, he worked at University of Waterloo (1991-1994), University of Regina (1994-1999) and University of Manitoba (2000). In 2001 he joined Uniersity of Calgary. His research interests include Parametric & Non-parametric regression, Non-linear time series modelling of environmental changes, Quality Control and High dimensional data analysis. He was the President of the Business and Industrial Statistics Section of SSC in 2007 and served as a member for the Accreditation Committee from its inception in 2003 to 2008.

Patrick Farrell

Patrick Farrell, P.Stat., is currently Professor and Director of the School of Mathematics and Statistics at Carleton University. He received his Ph.D. from McGill University in 1992, and prior to joining Carleton in 2000, held faculty positions at the University of Waterloo and Acadia University. His research interests include discrete data analysis, sampling, and the application of statistical methodology, in particular to the health sciences. He has served the SSC as Treasurer (2003 – 2005), as President of the Survey Methods Section (2000 – 2001), as a University Representative (1997 – 2003), and most recently as a member of the Pierre Robillard, Membership, and Accreditation Appeals Committees. In 2004, he was granted a P.Stat. from the SSC. He served as the Director of the Statistical Consulting Centre at Acadia University from 1996 to 2000, and is currently active in statistical consulting. Since 2007, he has been a member of the McLaughlin Centre for Population Health Risk Assessment, and to date has collaborated on projects in the areas of pharmocovigilance and the environmental burden of disease.

John Koval

John Koval, P.Stat., is Professor of Biostatistics and also the Graduate Chair in the Department of Epidemiology and Biostatistics at the University of Western Ontario. After receiving his B.Math. and M.Math. in Statistics from the University of Waterloo, he travelled to England to study at Imperial College, where he earned an M.Phil. in Statistics from the University of London. He returned to the other London, where he obtained a Ph.D. from the Department of Statistical and Actuarial Sciences at Western. After a postdoctoral fellowship at Waterloo, he held faculty appointments in the Departments of Mathematics and of Statistical and Actuarial Sciences at Western. His research interests include epidemiological regression models, models for panel data, and the handling of missing data. He has been funded as a Principal Investigator by the National Cancer Institute of Canada, from which he has received grants to conduct a 10-year cohort study looking at psychosocial factors in smoking in adolescents and young adults. He has been a member of the SSC since the early 1980's and served as a member of several SSC consulting services committees. He was Treasurer of the Biostatistics Section from 2000 to 2007. Currently he is a member of the Accreditation Appeals Committee.

Jamie Myles

Jamie Myles, P.Stat., worked with the original team to develop the Accreditation program and was one of the first 10 accredited P.Stats. He served as a member of the Accreditation Review Committee, the Professional Development Committee and served a term on the SSC Board of Directors representing Ontario. Jamie was also President of TABA in Toronto. He received his undergraduate training at the University of Guelph and did graduate studies in Biostatistics at the University of Washington. After his studies in Seattle he returned to Canada to Queen's for several years at the NCIC Clinical Trials Group. Jamie joined the pharmaceutical industry in 1995 and was moved around by several large companies to 3 different countries. After the most recent company down-sizing he returned to the academics and is currently in the Michigan Institute for Clinical Health Research at the University of Michigan in Ann Arbor.

Jeanette O'Hara Hines

Jeanette O'Hara Hines (BA UNB, MA Queen's, MM Waterloo, Ph.D., Waterloo; P.Stat.) is an associate professor in Waterloo's Department of Statistics and Actuarial Science. She has been involved in statistical consulting for most of her career, currently directing the statistical consulting unit and, in the past, teaching a graduate consulting course. She has been a regional representative on the Board of Directors for the SSC and TIES societies, and on the SSC's Accreditation, Women in Statistics, Professional Development and Statistical Consulting committees. She has also been the chair of the ASA's Canadian Section of the Women's Caucus. Her research focuses on the practical needs of researchers in the biological sciences, for example dealing with mortalities of groups of animals over time intervals, sequences of irregularly-timed location data of radio-tagged animals and the success rates of crossbred animals in parental native environments. Current research involves covariance mis-specification in analyses of longitudinal categorical data, often with drop-outs.

Paul J. Villeneuve

Paul J. Villeneuve, P.Stat., is a Research Scientist with the Population Studies Division of Health Canada. He received his doctorate in Epidemiology from the University of Toronto in 2000, and a B.Math in Statistics from the University of Waterloo in 1992. He was awarded a P.Stat. in 2006. His current research areas of interest are in cancer and environmental epidemiology. He is current leading a large Canadian cohort study that is investigating the effects of long-term exposure to ambient air pollution on mortality and cancer incidence. He is also the current President of the Statistical Society of Ottawa.

Xikui Wang

Dr. Xikui Wang, P.Stat., is Professor and Associate Head in the Department of Statistics, University of Manitoba. He obtained MSc in Mathematics and PhD in Statistics from the University of Saskatchewan. Dr. Wang taught at the University of Alberta (as instructor) and the memorial University of Newfoundland (as assistant professor of biostatistics) before moving to Winnipeg in 2000. His research interest includes biostatistics, statistical design and analysis of response adaptive clinical trials, bandit processes and Markov decision processes, and dynamic pricing and revenue management.

Natasha Wiebe

Natasha Wiebe, P.Stat., is a Research Associate and Scientific Manager with the Kidney Health Research Group in the Department of Medicine at the University of Alberta. Wiebe holds a Bachelor of Mathematics and Masters of Mathematics (Statistics) from the University of Waterloo. She has worked in the field of statistical consultancy with the University of Alberta since 1999 and has published over 50 articles in peer-reviewed medical journals. Her work focuses on the area of health technology assessment. She is a member of the pan-Canadian Health Technology Analysis Exchange forum.