2018 SSC Elections

SSC Logo
In compliance with the SSC By-Laws, the Election Committee is publishing a list of candidates for positions on the Executive and Board of Directors that will become vacant on July 1, 2018. In addition, candidates for positions on the Executives of the Sections, and for positions on the Accreditation and Accreditation Appeals Committees are also provided. The biographical sketches for all candidates follow. Electronic voting will commence on or before April 16th.

(Three-year Terms)

[President, 2019-20; Past President, 2020-21]
Bruce Smith, Dalhousie University
Bruce Smith is a Professor in the Department of Mathematics and Statistics at Dalhousie University.  He has BSc degrees in Animal Biology and Statistics, an MSc in Statistics from the University of Calgary, and a PhD in Biostatistics from the University of California, Berkeley. He has been at Dalhousie since 1988 where he has served as Director of the Division of Statistics and Chair of the Department of Mathematics and Statistics. He has served as an Associate Editor of CJS and was the Program Chair for the 2002 SSC meeting at McMaster University. Bruce's research interests include time series methods with application to sea level modeling, and estimation of quantitative genetic parameters with incomplete pedigree.
Llwellyn Armstrong, Ducks Unlimited
Llwellyn Armstrong is the statistician for the Institute for Wetland and Waterfowl Research within Ducks Unlimited Canada. She consults with staff and students on research study design, statistical analyses and reporting.  She obtained her MSc in Statistics from the University of Manitoba and for six years was the primary consultant for the Statistical Advisory Service at the University of Manitoba.  Llwellyn has previously served as Regional Representative for Manitoba-Saskatchewan-NWT-Nunavut (2012-2014) and during that time was chair of the Strategic Planning Committee.  She has been Executive Secretary for SSC since 2015.  

(Two-Year Terms)

(One To Be Elected)

Candemir Cigsar, Memorial University of Newfoundland
Candemir Cigsar is an Assistant Professor of Statistics in the Department of Mathematics and Statistics at Memorial University. He received his PhD from the University of Waterloo in 2010. After a postdoctoral period in Toronto and working as a biostatistician in the Princess Margaret Cancer Centre, he joined the faculty of Memorial University in June 2013. Candemir's current research interests lie in event history analysis pertaining to analysis of time-to-events, analysis of recurrent events, and multi-state modeling. The intrinsic motivation for his scholarly interests has been statistical issues arising from different disciplines such as medicine, public health, genetics and industry. Candemir has publications in scientific journals including Annals of Applied Statistics, Technometrics and Genetic Epidemiology
Henrik Stryhn, University of Prince Edward Island
Henrik Stryhn is a Professor in Biostatistics at the Atlantic Veterinary College (AVC), University of Prince Edward Island.  He came to AVC in 2001 from his native Denmark where he received his MSc in mathematical statistics (Univ. Copenhagen, 1988) and PhD (former Royal Veterinary and Agricultural Univ. Copenhagen, 1994).  His main research interest lies in statistical modelling of hierarchically structured data, specifically within the Centre for Veterinary Epidemiological Research at AVC and involving also outreach activities in veterinary epidemiology through applied statistics courses and editorial work.  He currently sits on the board of AARMS (Atlantic Association for Research in the Mathematical Sciences) and has been active in collaborative projects within the Maritimes.  Since 2016 he has been one of the two SSC Board members from the Atlantic Region, and in the past he served on the Board of the Danish Society for Theoretical Statistics (1999-2003).


(Two To Be Elected)

Thierry Duchesne, Université Laval
Thierry Duchesne has been a professor in the Department of Mathematics and Statistics at Laval University since January 2003. He obtained his PhD in statistics from the University of Waterloo in 1999, after which he worked for over three years as an assistant professor in the Department of Statistics at the University of Toronto. He has held the P.Stat. denomination since 2006. His research interests are centred around the computational aspects of regression models of all types and on their application to ecology, actuarial science and epidemiology. He has served the SSC in several ways. He was first treasurer of the Business and Industrial Statistics Section from 2003 to 2009.  He also served two terms as Quebec representative on the Board of Directors of the Society from 2004 to 2008. He participated in the work of the Publications committee from 2010 to 2014 and he chaired the Local Organizing Committee of the Society’s annual meeting in Quebec City in 2010. He still serves the Canadian statistical community today, as chair of the Industrial Innovation Committee of CANSSI, as member of the Editorial Board of Liaison and as member of NSERC’s Evaluation Group 1508.
Cody Hyndman, Concordia University
Cody Hyndman is an Associate Professor in the Department of Mathematics and Statistics at Concordia University.  After completing his PhD in Statistics at the University of Waterloo in 2005, he was a post-doctoral fellow at the University of Calgary from 2005 to 2006, joined Concordia as an Assistant Professor in 2006, and was appointed Chair of the Department of Mathematics and Statistics in July 2017. His research focuses mainly on stochastic methods in finance, forward-backward stochastic differential equations, and stochastic filtering. He is a member of the Probability Section and the Actuarial Science Section of the SSC and has organized invited paper sessions at the SSC Meetings in 2012 and 2016. Cody is currently serving as a Guest Editor of a special issue of The Canadian Journal of Statistics (CJS) on "Stochastic Models, Statistics, and Finance."
Marc Simard, Institut national de santé publique du Québec (INSPQ)
Marc Simard has been a Biostatistician at the Québec Institute of Public Health since 2001. He received his BSc degree in Statistics from Laval University and his master’s degree in public health from the University of Montréal. He is the statistical methodologist in populational chronic disease surveillance and collaborator at the Statistical Consulting Services of the Office of Population Health Study and Information (BIESP).  He collaborates with university researchers and is actively involved as teaching assistant in the Faculty of Medicine of Laval University. He has been an SSC member since early in his career and is currently a Quebec regional representative on the Board of directors. He would like to renew his mandate on the Board as he has always been concerned to represent the interests of all statisticians including those working in public organizations. 
(Two To Be Elected)
Lorna Deeth, University of Guelph
Lorna Deeth is an Assistant Professor in the Department of Mathematics and Statistics at the University of Guelph. Her research interests are in the areas of infectious disease modelling, environmental effects monitoring, and ecotoxicity models. She is currently co-chair of the Census at School Committee, previously serving for two years as a committee member. Lorna has been a member of the SSC since 2008, is a member of the Laurentian chapter of the Society of Environmental Toxicology and Chemistry (SETAC), and serves on the editorial board for Veterinary Pathology.
Michael McIsaac, Queen’s University
Michael McIsaac received his BSc in Honours Mathematics from UPEI (2007), and his MMath (2008) and PhD (2013) in Statistics from the University of Waterloo. He has been on faculty at Queen’s University in Kingston since 2013, where he is the Program Director for the MSc Biostatistics program that operates jointly between the Department of Mathematics and Statistics and the Department of Public Health Sciences. Michael’s main research interests are in the development of efficient two-phase study designs and statistical methods for the analysis of incomplete data. He is also interested in statistical education and pedagogy, and earned a Certificate in University Teaching from Waterloo's Centre for Teaching Excellence. Michael has served as a member (2014-2017) and Chair (2016-2017) of the SSC’s New Investigators Committee, as a member of ENAR’s Council for Emerging and New Statisticians (2014-2017) and as a member of CENS' steering committee (2015-2017). Michael is looking forward to even greater involvement with the SSC. 
Xu (Sunny) Wang, Wilfrid Laurier University
Xu (Sunny) Wang is an associate professor in the Department of Mathematics at Wilfrid Laurier University. Prior to joining Laurier, Sunny spent seven years (2009-2016) as an assistant and later associate professor in the Department of Mathematics, Statistics and Computer Science at St. Francis Xavier University (Nova Scotia, Canada), where she received the University Outstanding Teaching Award in 2016. Sunny received both BSc in Applied Mathematics and MSc in Statistics from Tianjin University (China), and PhD in Statistics from the University of Waterloo (Canada). Sunny’s research focuses on developing statistical learning and data mining tools for drug discovery data, and high dimensional financial time series data. Sunny has been involved with the SSC since early in her career. She was the local representative of SSC at St. Francis Xavier University (2009-2016), and served on the SSC Education Committee (2011-2012) and the SSC Finance Committee (2015-2017). Currently, she is serving as treasurer and executive member of the Statistical Education Section (2013-2018) and as a member of the Case Study Award Committee (2013-2018). 
(One To Be Elected)
Katherine Davies, University of Manitoba
Katherine Davies is an Associate Professor in the Department of Statistics at the University of Manitoba, where she joined as an Assistant Professor in 2008. Prior to moving to Winnipeg, she lived in Ontario, completing both an Honours BSc and MSc degrees from McMaster University, and a PhD from the University of Western Ontario. Katherine’s current research interests include order statistics, censoring methodologies and censored data analysis. She is an active researcher and supervisor of graduate students. A member of the SSC since her graduate studies, she has served on the Committee on New Investigators, the Committee on Women in Statistics, as the SSC representative to the Caucus on Women in Statistics and on the SSC's Board of Directors. She is also a member of the American Statistical Association and the International Indian Statistical Association. 
Cindy Feng, University of Saskatchewan
Cindy Feng has been an Assistant Professor of Biostatistics at the School of Public Health of the University of Saskatchewan since 2012. She received her MSc and PhD degrees in Statistics at the Simon Fraser University. Her primary research interest is in developing statistical models for analyzing data with complex correlation structures in which repeated measurements, hierarchical clustering, multiple outcome types and spatially correlated data may occur. Cindy is a recipient of an NSERC discovery grant to develop statistical models for modeling spatially and temporally correlated data. She has also served as the grant reviewer for various funding agencies, including NSERC, CIHR and MITACS, etc. Cindy has endeavored to develop her theoretical and methodological expertise in statistics and she has published peer-reviewed articles in statistical journals, such as Biometrics, Environmetrics, Statistics in Medicine, Statistics and Computing, Journal of Statistical Computation and Simulation and Journal of Applied Statistics. She has a deep desire to bridge the gap between statistical methods and practice through pursuing methodological development and application of statistical methods in public health, which has led her to developing partnerships with many researchers from various disciplines, i.e. medicine, psychology, biology and sociology. These collaborations have led to about 30 peer-reviewed journal publications in the past five years. Cindy has been an active participant as an invited speaker and session organizer at SSC conferences and she is very grateful and honored to be nominated and looking forward to making contributions in strengthening the ties and expanding the impact of SSC with the Manitoba - Saskatchewan - N.W.T. - Nunavut Region.
(One To Be Elected) 
Karen Kopciuk, University of Calgary
Karen Kopciuk is a Research Scientist in the Department of Cancer Epidemiology and Prevention Research, Alberta Health Services and an Associate Adjunct Professor in the Departments of Oncology and Mathematics and Statistics at the University of Calgary (UC).  She is a full member of two UC Research Institutes - Charbonneau Cancer Institute and O’Brien Institute for Public Health. She obtained her MMath and PhD degrees from the University of Waterloo and was a post-doctoral fellow at the Samuel Lunenfeld Research Institute where she worked in the area of statistical genetics. Her research interests include feature selection methods for high dimensional genetic and molecular data for ordinal and survival responses, disease risk estimation in families who carry a mutated gene, and microsimulation modelling of complex interventions and time-dependent risk factors in disease processes in large populations. Karen is currently serving as the Regional Representative for Alberta/British Columbia/Yukon and has previously served as the President, Secretary and Liaison of the SSC Biostatistics Section as well as on the SSC Elections Committee. 
Jason Loeppky, University of British Columbia, Okanagan
Jason Loeppky is an Associate Professor of Statistics at The University of British Columbia's Okanagan campus. He received his PhD in 2004 from Simon Fraser University and is an Accredited statistician (P.Stat., 2013). He has served as the SSC Electronic Services Manager and as Chair of the Electronic Services Development Committee since 2015 and previously served as BISS Secretary, Chair of the Student Travel Awards Committee and a member of the New Investigators Committee. His research interests include design and analysis of physical and computer experiments, methodology for complex models and applications in engineering and biology. He is the recent recipient of the prestigious NSERC Discovery Accelerator supplement.


(Three-year terms; 2018-21) 
[President, 2018-19; Past President, 2019-20]
David Landriault, University of Waterloo
David Landriault is a Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. David currently holds a Tier-II Canada Research Chair in Insurance Risk Processes. Before joining the Department of Statistics and Actuarial Science at Waterloo (first as a postdoctoral fellow (2005-2006) and later as a faculty (2006-now), David received a PhD in Mathematics from Laval University in 2005. His areas of research expertise include ruin theory, insurance risk processes and stochastic control problems in insurance and finance. He is an Associate Editor of Insurance: Mathematics and Economics, and the Associate Chair for Actuarial Science in the Department of Statistics and Actuarial Science at the University of Waterloo. As for his professional qualification, David is a Fellow of both the Canadian Institute of Actuaries and the Society of Actuaries. David has served on various committees within these two professional organizations. 
Jean-François Bégin, Simon Fraser University
Jean-François Bégin joined the Department of Statistics and Actuarial Science at Simon Fraser University as an Assistant Professor this year. Prior to coming to SFU, Jean-François graduated from HEC Montréal where he earned a PhD in financial engineering under the supervision of Professor Geneviève Gauthier. His main research interests include financial modelling, risk management, financial econometrics, filtering methods, and credit risk. He is also a fellow of the Society of Actuaries (FSA) and an Associate of the Canadian Institute of Actuaries (ACIA).
(Three-year terms; 2018-21) 
[President, 2019-20; Past President, 2020-21]
Lei Sun, University of Toronto
Lei Sun is a Professor of Statistics and Biostatistics at the University of Toronto. She studied mathematics at Fudan University and obtained her PhD in statistics from the University of Chicago in 2001.  Since then she has been a faculty member at the Division of Biostatistics at the Dalla Lana School of Public Health at the University of Toronto, and since 2014, a member of the Department of Statistical Sciences. Her research focuses on statistical genetics and genomics and is funded by NSERC and CIHR.  Lei-Sun is the 2017 recipient of the CRM-SSC Prize in Statistics.
Eleanor Pullenayegum, Child Health Evaluative Sciences, Toronto
Eleanor’s career began at the University of Cambridge in England, where she worked as a consulting statistician in the Department of Public Health and Primary Care after finishing her degree in mathematics. Having confirmed her enthusiasm for biostatistics, she moved to Canada to do her doctoral work at the University of Toronto, followed by postdoctoral work at the University of Waterloo. She has been on faculty at McMaster University (2007-2013) and now works as a Scientist at the Hospital for Sick Children and as Associate Professor at the University of Toronto. Her research interests include statistical methods for health economics and methods for longitudinal data, in particular the case where the observation schedule is stochastic and potentially informative. Having benefitted from the SSC as a way to share ideas and connect with colleagues, she looks forward to the opportunity to support its work.
(Three-year terms; 2018-21) 
[President, 2019-20; Past President, 2020-21] 
Ryan Browne, University of Waterloo
Ryan Browne is an Assistant Professor in the Department of Statistics and Actuarial Science. Ryan has received three degrees in statistics from the University of Waterloo; BMath 2004, MMath 2006 and PhD 2009. Based on his PhD work, Ryan was awarded the 2011 W.J. Youden Award in Interlaboratory Testing by the American Statistical Association. Ryan’s current research focus is model-based clustering and classification. He received the 2015 Chikio Hayashi Award for Young Researchers given by the International Federation of Classification Societies. Ryan is looking forward to working for and with the SSC. 
Alexander de Leon, University of Calgary
Alex R. de Leon is an Associate Professor in the Department of Mathematics and Statistics at the University of Calgary. Originally from the Philippines, he obtained his BSc and MSc, both in Statistics, from the School of Statistics of the University of the Philippines. After a research studentship at Tokyo University of Science, he completed his PhD in Statistics in 2002 at the University of Alberta. His research interests include methods for analyzing correlated data, mixed data analysis, pseudo- and composite likelihood methods, copula modeling, assessment of diagnostic tests, and statistical problems in medicine, particularly in ophthalmology.   
(Three-year terms; 2018-21) 
[President, 2019-20; Past President, 2020-21]
Jean Vaillancourt, HEC Montréal
Jean Vaillancourt is an Affiliated Professor at HEC Montreal. Prior to his current appointment, he was Associate Dean of sciences in Sherbrooke, then Dean of research at the Université du Québec en Outaouais (UQO) and finally President of UQO for ten years. After receiving a PhD in mathematics from Carleton University, he served the scientific community as a member of several decisional bodies, among them the boards of directors of the Statistical Society of Canada (1997-2001) and of the Institute of Materials and Advanced Mechanics in Le Mans (France, 2005-2015), as well as on numerous committees at the Natural Sciences and Engineering Research Council of Canada (NSERC), notably as Chair of the Mathematics and Statistics Group (2003-2006) and Chair of the NSERC André-Hamer and Howard-Alper Prizes (2006). He was also Local Arrangements Chair for the annual conference of the International Federation of Automatic Control (2004). Current research endeavors include theoretical studies of random media as well as knowledge discovery in social media databases.
(Three-year terms; 2018-21)
[President, 2019-20; Past President, 2020-21]
Sotorios Damouras, University of Toronto
Sotirios Damouras is an Assistant  Professor, Teaching Stream in the Department of Computer and Mathematical Sciences at the University of Toronto Scarborough. He holds a PhD in Statistics from Carnegie Mellon University (2008) and an MSc in Financial Mathematics from the University of Warwick (2003), having done research in time series and financial econometrics. He has served as a member of the SSC Statistics Education Committee (2016-2019) and is particularly interested in undergraduate statistics curricula.
[President, 2019-20; Past President, 2020-21]
Kim Huynh, Bank of Canada
Kim P. Huynh is a Senior Research Adviser in the Currency Department at the Bank of Canada and an Adjunct Research Professor in Economics at Carleton University. He earned his BA (Honours) Co-Op  from the University of Calgary, MA at the University of British Columbia, and PhD at Queen's University, all in economics. Kim specializes in the economic analysis of complex survey data. He uses tools from discrete-choice modeling and functional data analysis. Kim is interested in facilitating research interactions between economists, statisticians, and data scientists.
(Two-year term; 2018-20
Christian Nambeau, Statistics Canada
Christian Olivier Nambeu holds a BA in Mathematics and a MA in Statistics from University of Montreal. His research interests include treatment of nonresponse, estimation methods in surveys and the use of administrative data in the production of official statistics. He works as a survey statistician at Statistics Canada. He is currently assigned to the Social Survey Methods Division and part of his duties is to provide methodology support to the Demography Division on the internal and international migration components. Since 2012 he has been the editor of the proceedings of the SSC Survey Methods Section.

(Three-year terms; 2018-21)

(Four to be elected
Jeff Bakal, University of Alberta
Jeff Bakal is the lead biostatistician at the Health Research Methods and Analytics group at Alberta Health Services, and associate director of the Strategy for Patient Oriented Research (SPOR) data platform. In these roles he has been working in collaboration with a variety of clinical researchers on the use of both linked administrative health care data and clinical data for research into a variety of healthcare and health services research. Areas of focus have included: novel methodology for time-to-event data, clinical trial recruitment from administrative data, and the methodology and analysis of studies spanning many areas of medicine.
Beatrice Baribeau, Statistics Canada 
Beatrice Baribeau, P.Stat., is a survey methodologist chief working on Household Surveys at Statistics Canada.  She has a Bachelor’s degree in Statistics from the University of Waterloo. She has an interest in weighting and estimation as well as in applied research relating to nonresponse bias and adjustments. She enjoys bringing a human element to the field of survey methodology, particularly in working with non-statisticians.  She currently leads a section that provides the methodology services for Statistics Canada’s General Social Survey and other various household and military surveys.  Beatrice was a part of the Accreditation Taskforce.
Ruth Croxford, Institute of Clinical Evaluative Sciences
Ruth Croxford, P.Stat., is a Research Methodologist at the Institute for Clinical Evaluative Sciences (ICES), a not-for-profit health services research institute.  She has worked at ICES since 1996, providing statistical support for health services research covering a broad range of clinical areas, as well as lecturing  in biostatistics and clinical epidemiology at the University of Toronto. Ruth was first elected as a member of the Accreditation Committee of the SSC in 2015, and she is also a member of the executive of The Applied Biostatistics Association (TABA) and past president of the executive of the SAS Health Users Group. She holds a Master’s degree in Statistics from the University of Toronto, and a Master’s degree in Computer Science from Queen’s University, Kingston, Ontario.  
Soyean Kim, Technical Safety BC
Soyean Kim is a technical leader with over 14 years of industry experience who is currently working as the Leader of Research and Analytics at Technical Safety British Columbia.  Her passion is to make a difference by combining data, algorithms and people. She believes in advocating statistics as a profession to make greater impact on the community of BC. She is an active member of the data science community in Vancouver and has coached many students and directed reports throughout her career. Prior to Technical Safety BC, she was the Rate Design Manager at FortisBC (formerly Terasen Gas). Her broad industry background also includes working as an associate in the Advisory Practice of PricewaterhouseCoopers (PWC), where she was a member of the Statistics and Economics Consulting Group. During her consulting tenure, she has assisted clients across many different domains such as Boeing and the Ministry of Health. Prior to joining PWC, Soyean was an analyst with the Department of Analytical Studies at SFU. She is a professional statistician (P.Stat.T)  and has a Master’s degree in Statistics from Simon Fraser University. Outside work, Soyean loves to spend time with her two children who are active in sports.
Alberto Nettel-Aguirre, University of Calgary
Alberto Nettel-Aguirre, P.Stat, is an Associate 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 the University of Calgary. He held 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 formulation 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. Alberto has participated in CIHR RCT and other local (ACH Foundation) grants committee. He served for five years on the Health Research Ethics Board of Alberta Community Health Committee (AIHS) and is the current Biostatistics Section secretary and member of the Accreditation Committee.
(Two to be elected) 
Neil Arnason, University of Manitoba
Neil Arnason, PhD, P.Stat. is a senior scholar at the University of Manitoba. He retired in 2011 after a 41-year career in teaching, research and consulting in the Computer Science Department at the University of Manitoba. His research and consulting were primarily in statistical ecology and fish and wildlife population assessment and the development of methods and software for estimation of animal population demographic parameters. As a senior scholar at the University, Neil has continued work on Caribou, anadromous fish stocks, and other species with Federal and Provincial partners. He has been a regional representative to the SSC Board (in the 1990s), chaired the Biostatistics Section (1998-9), and was involved early in the SSC accreditation program. He served on the Initial Accreditation Committee (2004-06) and was the third chair of the Accreditation Committee (2008-10).
Yogendra Chaubey, Concordia University
Yogendra P. Chaubey holds the position of Professor in the Department of Mathematics and Statistics. Yogendra served the department of mathematics as Chair frrom 2005-14 and 2016-17. His current area of research is on non-parametric functional estimation which is funded by a discovery grant from NSERC. He has been quite active in promoting Statistics through membership in various capacities of several statistical associations: Secretary, Montreal Chapter of ASA, 1983-1984; 1st Vice President, Montreal Chapter of ASA, 1984-85; President, Statistical Society of Montreal, 2000-01; SSC Board Member (Quebec Rep) 2002-04; 2004-06; 2011-12; Vice President, Forum for Interdisciplinary Mathematics (FIM) 2005; Editor, SSC Liaison, 2004-06; Member, Committee on Career Development, ASA, 2005-07. He has served as an organizer of academic sessions for several scholarly conferences, notably those held at Concordia University in 1991, 2001 and 2011.
Lennon Li, Public Health Ontario
Lennon Li is a biostatistical specialist in the Informatics department of Public Health Ontario (PHO), where he practises statistical methods with public health applications and develops customized methods and tools for population health monitoring and routine surveillance. Lennon has a PhD in biostatistics from University of Toronto with specialization in spatial statistics and is a Professional Statistician (P.Stat.) accredited by the SSC. He is also an assistant professor with the Biostatistics program at DLSPH at UofT. Lennon is interested in data science and enjoys developing interactive analytical tools that integrates data, methods, visualization as well as content expertise of users to improve research and practice. 
Jack Gambino, Chair and SSC Past-President
Sylvia Esterby, UBC Okanagan
Christian Genest, McGill University
Cyntha Struthers, University of Waterloo
François Bellavance, HEC Montréal
Sheldon Lin, University of Toronto
Neal Madras, York University
Matthias Schonlau, University of Waterloo
Jim Stallard, University of Calgary
Grace Yi, University of Waterloo
Saturday, January 6, 2018

Liaison Newsletter: