In compliance with SSC Operating Policies, the SSC Election Committee is publishing a list of candidates for positions on the Executive and Board of Directors that will become vacant on July 1, 2025. 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 are included. Electronic voting will commence mid April 2025. 

Part 1: Members of the Executive Committee of the SSC (3-year terms: 2025-2028)

• President-elect

  [President, 2026–2027; Past President, 2027-2028]

Rhonda J. Rosychuk, PhD, P.Stat., PStat®(ASA), University of Alberta

Rhonda Rosychuk is a professor and senior biostatistician in the division of pediatric infectious diseases in the Department of Pediatrics at the University of Alberta. She is a Professional Statistician accredited by the Statistical Society of Canada and American Statistical Association. She is an adjunct professor in the Department of Mathematical and Statistical Sciences at the University of Alberta, an adjunct professor in the Department of Statistics and Actuarial Sciences at Simon Fraser University, and a member of the Women and Children’s Health Research Institute in Edmonton. Her research activities include statistical methods development, epidemiological studies, and collaboration/consultation with clinical colleagues. She has been committed to professional service and has served the SSC in various capacities including public relations officer (2022–2025), regional representative, and multiple committee chair and member roles. 

• Public Relations Officer

Nathaniel Stevens, University of Waterloo

Nathaniel Stevens is an associate professor in the Department of Statistics and Actuarial Science at the University of Waterloo where he also serves as director for the undergraduate data science programs. Nathaniel is interested in using statistics to solve practical problems, and he has a passion for inspiring and training students to do the same. His research interests lie at the intersection of data science and industrial statistics; his publications span topics including experimental design and A/B testing, network modelling and monitoring, survival and reliability analysis, measurement system analysis, and study design/analysis with estimation-based alternatives to traditional hypothesis tests. Previously he served as president of the SSC’s Data Science and Analytics Section, and before that he chaired the SSC’s committee on new investigators.

Part 2: Regional Representatives on the SSC Board of Directors (2-year terms: 2025–2027)

Atlantic (One to be elected) 

Connie Stewart University of New Brunswick

Connie Stewart received her PhD in statistics from Dalhousie University in 2005 and is a professor in the Department of Mathematics and Statistics at the University of New Brunswick (UNB) on the Saint John campus, where she is presently department chair. Connie’s research lies at the intersection of compositional data analysis, statistical ecology and computational statistics. Her work on predator diet estimation using fatty acid signatures, along with the R package she maintains, has been leveraged by biologists across Canada studying predator-prey relationships. Connie is actively involved in service at UNB, where she is currently a member of senate, has served on a wide range of academic committees, and regularly volunteers at STEM outreach events. As a member of the CANSSI Atlantic advisory committee, she helped organize the inaugural Florence Nightingale Day in Atlantic Canada. This event uses hands-on activities to engage and educate students on fundamental concepts in statistics and data science. Connie is also a member of the Canadian Journal of Statistics Award committee. 

Asokan Mulayath Variyath, Memorial University

Asokan Mulayath Variyath is a professor of statistics in the Department of Mathematics and Statistics at Memorial University. During 1991–2001, he worked as a faculty member at the SQC & OR division of the Indian Statistical Institute. He obtained his PhD in statistics from the University of Waterloo in 2006 and worked as an assistant research professor at Texas A & M University during 2006–2008. In 2008, he joined Memorial University as assistant professor of statistics. His main research interests are industrial statistics, design of experiments, empirical likelihood based variable selection, survival analysis and longitudinal studies. He has engaged in teaching and research at MUN and published more than 40 research articles in leading journals. He undertook a project “Improving the Students' Learning Process through the Use of Statistical Applets” at MUN. He served as deputy head (graduate studies) of the department during 2019–2022 and served as the chair of the Master of Data Science program during 2022–2024. He has served SSC in many ways including as a member of the SSC student travel grant committee, president of SSC Education Section 2018–2019, cochair of the virtual organizing committee of the SSC Annual Meeting 2021, member of the virtual organizing committee of the SSC Annual Meeting 2022 and cochair of the local organizing committee of the SSC Annual Meeting 2024 held at Memorial University. In 2023, he was elected to the SSC board representing Atlantic provinces for 2 years.

Quebec (Two to be elected)

Lajmi Lakhal-Chaieb,Université Laval

Lajmi Lakhal-Chaieb is a full professor of statistics in the Department of Mathematics and Statistics at Université Laval. He served as chair of the department and is currently the chair of graduate studies in statistics and the scientific director of the statistical consulting service of Université Laval. His research interests focus on statistical genetics, survival analysis and modelling of multivariate dependencies using copula models. He has served the SSC in various capacities as a member and then chair of the case studies in data analysis committee from 2009 to 2014 and as a member and then chair of the Student Research Presentation Award committee from 2016 to 2021. He is presently a member of the bilingualism committee.

Christian Léger, Université de Montréal

Christian Léger is professor in the Department of Mathematics and Statistics at Université de Montréal. He is currently serving on the SSC board of directors since 2023 and is seeking re-election for a second mandate. He has served the SSC in various capacities before that. He served on the executive committee as president (including elect and past; 2011–2014), secretary, and program secretary, as well as on the board of directors as regional representative of Quebec for three mandates in the 90s and the 2000s. He has been a member or chaired many SSC committees throughout his career. In recognition for his service, he was awarded the SSC Distinguished Service Award in 2009. Christian received a BSc in mathematics from McGill University in 1983 and a PhD in statistics from Stanford University in 1988. His research interests involve resampling methods, model selection, and various applications. If re-elected, he will continue to put his wide SSC experience to work as it faces important challenges in the coming years.

Bouchra Nasri, Université de Montréal

Bouchra Nasri is a faculty member in the Department of Social and Preventive Medicine at Université de Montréal. She holds an FRQS Junior 1 award in artificial intelligence in health and digital health and is a principal investigator on grants funded by NSERC and CIHR in theoretical statistics for complex data and mathematical modelling for infectious diseases. Since March 2023, she has been nominated as chair of PathCheck's Data Informatics Center of Epidemiology and since 2024 she is codirector of digital health network. She authored and coauthored several papers on time series, dependence modelling, multivariate statistics, and mathematical modelling for infectious diseases. Bouchra Nasri was previously the managing editor of the Canadian Journal of Statistics, and the chair of the EDI committee of the SSC. She is currently a board member of the SSC.

Archer Yang, McGill University

Archer Yang is an associate professor in the Department of Mathematics and Statistics at McGill University, as well as an associate member of the School of Computer Science and the Quantitative Life Sciences program. He is also an associate academic member of Mila—Quebec AI Institute. He earned his PhD in 2015 under the supervision of Professor Hui Zou at the University of Minnesota. His research focuses on statistical machine learning, statistical computing, and high-dimensional statistics, with applications in biomedical and biochemical sciences, industrial data science, and drug discovery.

Ontario (2 to be elected)

Camila de Souza, University of Western Ontario

Dr. Camila de Souza is an associate professor in statistics and data science at the University of Western Ontario. She is also the interim director of the professional Master of Data Analytics program and vice-director of Western Data Science Solutions. Before joining Western, Dr. de Souza was a postdoctoral fellow at the BC Cancer Agency Research Centre, V. She completed her PhD in statistics at the University of British Columbia (UBC). She is originally from Brazil, where she received her master’s and bachelor’s degrees in statistics at the University of Campinas. Dr. de Souza’s research program consists of developing novel statistical methods to analyze large and complex data structures from various areas and collaborations in the natural sciences, health, and engineering. Her research involves techniques such as clustering, hierarchical mixture models, mixed effect models, hidden Markov models, nonparametric regression, semi-parametric models, expectation-maximization (EM) algorithm, and Bayesian variational inference. 

Hanna Jankowski, York University

Hanna Jankowski is a full professor in the Department of Mathematics and Statistics at York University in Toronto (Keele campus). She received her PhD in statistics from the University of Toronto in 2006 and completed an NSERC postdoctoral fellowship at the University of Washington in 2007 and 2008. Her research interests include primarily shape-constrained nonparametric and semiparametric estimation methods as well as statistical methods in mathematical biology. She is a member of the Canadian Centre for Disease Modelling and was a part of the OMNI-RÉUNIS NSERC Emerging Infectious Diseases Modelling Initiative network, where she served as the chair of the equity, diversity, inclusion, and decolonialization committee. She served as president of the SSC Chapter of the Southern Ontario Regional Association (SORA) from 2015 to 2018 and has been a part of the SORA board of directors since, currently serving as member-at-large. She represents York University with CANSSI National and also serves on the CANSSI ONTARIO provincial advisory committee.

Martin Lysy, University of Waterloo

Martin Lysy is associate professor in the Department of Statistics and Actuarial Science at the University of Waterloo. His research interests include modelling of biophysical processes and computational methods. At the University of Waterloo, he was associate dean of computing in the Faculty of Mathematics during 2021 and has been director of the Statistical Consulting and Survey Research Unit since 2017. He has been a member of the SSC since 2012 and has served as member and chair of the SSC new investigators committee and the CANSSI distinguished lecture in statistical science nominating committee.

Catherine Njue, PhD , PStat., Health Canada

Dr. Catherine Njue is the manager for the Office of Biostatistics in the Biologic and Radiopharmaceutical Drugs Directorate (BRDD), Health Canada. In this position, she leads the biostatistics team that is primarily involved in evaluating the statistical methodology of clinical trials and other sources of evidence for biologics (e.g., vaccines, blood products) and related biotechnology products and radiopharmaceuticals. She also provides statistical expertise in the drafting, review, and implementation of standards and guidelines developed by Health Canada, ICH, and WHO working groups. Dr. Njue received her PhD in statistics from the University of Manitoba in Winnipeg, Manitoba. After 2 years as a biostatistician at CancerCare Manitoba, she joined Health Canada where she remains. Dr. Njue has extensive experience as a statistical consultant, which began at the Statistical Advisory Service, University of Manitoba, where she worked throughout her doctoral program. At CancerCare Manitoba, she collaborated with researchers in the Department of Preventive Oncology and Epidemiology on the design and analysis of epidemiological studies. She also provided statistical consultation to researchers from various other departments within CancerCare Manitoba. 

Manitoba–Saskatchewan–NWT–Nunavut (One to be elected)

Sumeet Kalia, University of Manitoba

Dr. Sumeet Kalia is an assistant professor in the Department of Statistics at the University of Manitoba. He earned his PhD in biostatistics from the University of Toronto under the supervision of Prof. Saarela, with a dissertation titled "Causal Inference Using Electronic Health Records in Primary Care." Dr. Kalia also holds an MSc in biostatistics from Western University, where he worked under the joint supervision of Prof. Donner and Prof. Klar on his thesis, "On the Estimation of Intra-cluster Correlation for Time-to-Event Outcomes in Cluster Randomized Trials." Previously, Dr. Kalia gained extensive experience conducting research using primary care electronic health records while working as a research analyst (biostatistician) at the Department of Family and Community Medicine, University of Toronto.

Juxin Liu, University of Saskatchewan

Juxin is a professor in the Department of Mathematics and Statistics at the University of Saskatchewan. Her recent research interests include time series models, system dynamic models, statistical analysis for microbiome data, and censored covariates. She has been collaborating with colleagues from different disciplines such as computer scientists, biologists, and clinical physicians. She was the founding director of the CANSSI Saskatchewan Health Science Collaborating Centre (2018–2022). She has been an active member of the Affiliated Researcher Alliance for the Saskatchewan Centre for Patient Oriented Research (SCPOR) since 2015. She served on the SSC Student Travel Award committee (2015–2018) and SSC EDI committee (2021–2024). She is currently serving on the SSC fundraising committee (2023–2025) and the SSC board as the regional representative for Manitoba–Saskatchewan–N.W.T.–Nunavut (2023–2025).

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

Daniel J. McDonald, University of British Columbia  

Daniel J. McDonald is associate professor of Statistics at the University of British Columbia in Vancouver. Before joining UBC, he spent 8 years on the faculty at Indiana University, Bloomington. Daniel did his undergraduate studies at Indiana University where he received a Bachelor of Science in music with a concentration in cello performance from the Jacobs School of Music and a Bachelor of Arts in economics and mathematics. He received his PhD in statistics in 2012 from Carnegie Mellon University, and his dissertation was awarded the Umesh Gavasakar Memorial Thesis Award. In 2017, he was a recipient of the Indiana University Trustees Teaching Award. In 2018, he received a National Science Foundation CAREER award. Daniel’s methodological research involves the estimation and quantification of prediction risk, especially for complex dependent data. This includes the application of statistical learning techniques to time series prediction problems, as well as investigations of cross-validation for risk estimation. To promote adoption of these methods, he prioritizes open-source software development in R and lower-level languages, with packages available on CRAN, GitHub, and Bioconductor. On the applied side, previous work focused on applications in economics, engineering, neuroscience and atmospheric science. Current work examines methods for understanding and modelling epidemiological data, especially forecasting, nowcasting, and software development with Carnegie Mellon University’s Delphi Research Group.

Brad McNeney, Simon Fraser University

Brad McNeney is an associate professor of statistics at Simon Fraser University. He obtained an MSc in statistics from the University of British Columbia and a PhD in biostatistics from the University of Washington. After a postdoctoral fellowship at North Carolina State University, he joined the Department of Statistics and Actuarial Science at Simon Fraser University and has been there ever since. His research focuses on bias-reduced statistical methods in genetic epidemiology, including penalized likelihood and adjustment for hidden ancestry. He looks forward to connecting with colleagues as a regional representative.

         Part 3: Section Officers:

Actuarial Science Section Executive (3-year term)

• President-elect

[President, 2026-2027; Past President, 2027-2028]

Shu Li, Western University

Dr. Shu Li is an assistant professor in the Department of Statistical and Actuarial Sciences at Western University. She is an associate of the Society of Actuaries and the Canadian Institute of Actuaries. She completed her PhD study in actuarial science at the University of Waterloo in 2015 and worked as an assistant professor at the University of Illinois at Urbana-Champaign for 3 years before she joined Western University. She served as the treasurer for the Actuarial Science Section at the Statistical Society of Canada (SSC) from 2021 to 2024. Dr. Li’s research interests are in the areas of actuarial science and applied probability. Topics include risk theory, ruin theory, stochastic modelling with adaptive and optimal strategies, and quantitative analysis of exiting problems, aiming to enhance the quantitative analysis of risk management in the context of insurance and finance. She is also interested in the predictive analytics, aiming to seek the advanced analytic tools and data-driven methodologies.

• Secretary 

Anas Abdallah, PhD, McMaster University

Anas Abdallah holds a degree in engineering and a master’s in mathematical and statistical modelling from INSA Toulouse, France. He pursued a PhD in actuarial science, conducting research with a practical focus. In 2016, he received the Hachemeister Prize from the Casualty Actuarial Society (CAS) for his impactful thesis on the North American actuarial industry. With over 10 years of extensive experience in the insurance industry, Anas has contributed to Corporate Actuarial Services, the Research and Innovation team, and Actuarial Home Pricing & Segmentation. In 2019, Anas transitioned to academia, joining McMaster University as an assistant professor and the Actuarial and Financial Mathematics (AFM) program coordinator. He focuses on bridging the gap between industry and academia. Under his guidance, the AFM program received the prestigious 2020 CAS University Award for its industry-relevant curriculum and recently achieved Gold Level University Program recognition. Anas's research centres on statistical modelling in property and casualty (P&C) insurance, explicitly modelling the dependence between risks in pricing and reserving. 

Biostatistics Section Executive (3 year term)

• President-elect 

[President, 2026-27; Past President,2027-28]

Josée Dupuis , McGill University

Josée Dupuis is professor and chair of the Department of Epidemiology, Biostatistics and Occupational Health at McGill University. She holds a BSc in statistics from Concordia University and a MSc and PhD in statistics from Stanford University. Prior to joining McGill in 2022, she spent close to 20 years on the faculty at Boston University School of Public Health where she was chair of biostatistics. Her research focuses on the development of statistical methods for genome-wide association, rare variant analysis, gene-environment interaction assessment, multi-omics integration, and their applications to diabetes and lung disease. Professor Dupuis is a fellow of the American Statistical Association (ASA), of the American Association for the Advancement of Science (AAAS), and of the Institute of Mathematical Statistics (IMS). She served as president of the International Genetic Epidemiology Society in 2016. She was honoured with the International Genetic Epidemiology Leadership Award for her substantial contributions to the field and her service to the Society and received the 2020 American Society of Human Genetics Mentorship Award. She serves as a Quebec representative (2024–2026) on the SSC board of directors. She looks forward to working with colleagues to support the work of the Biostatistics Section. 

• Secretary

Marie-Pierre Sylvestre, Université de Montréal

Marie-Pierre Sylvestre is associate professor in biostatistics at the School of Public Health of the University of Montreal and a research scientist at the Innovation Hub of the CHUM research centre. She completed her PhD in biostatistics at McGill University in 2008 and postdoctoral studies at the Samuel Lunenfeld Research Institute. She founded the Biostatistics Consultation Services at the CHUM Research Centre in 2010 and led its activities until September 2013. She now holds a Junior II Salary Award from the Fond de recherche du Québec—Santé (FRQS) for her program of research on methods for longitudinal data. Her research interests include trajectory analysis, mediation models, and the development of prognostic tools. She has authored both methodological and substantive publications with a focus on substance use in youth. She published 3 R packages for the flexible simulation and modelling of complex longitudinal data, including the permutational algorithm (PermAlgo), the weighted cumulative exposure model (WCE), and a three-step approach to trajectory analysis (traj). She is one of the founding members of the Coalition for Early Life course studies supporting Public Health Intervention and Evaluation (celphie.ca) and the biostatistics advisor for the Montreal Heart Institute Scientific Evaluation Committee.

Business and Industrial Statistics (3 year term)

• President-elect

                    [President, 2026-27; Past President,2027-28]

Ejaz Ahmed, Brock University

Dr. S. Ejaz Ahmed is a professor of statistics/data science at the Brock University, he also served as the dean of the Faculty at Brock university. He is an internationally known scholar, educator, and an accomplished researcher. His research interests concentrate on big data, predictive modelling, and statistical machine learning with applications in many walks of life. His research has been supported by a variety of grants from the Natural Sciences and Engineering Research Council (NSERC) of Canada since 1987, the Canadian Institute of Health Research, Ontario Centre for Excellence (OCE) and from numerous international sources. He was awarded the prestigious Bualuang ASEAN Chair Professorship. His research achievements have been recognized with honours and awards, editor/associate editorship to scientific journals, adjunct/visiting professorships, and invited scholarly talks around the globe. He founded a prestigious international workshop on “High Dimensional Data Analysis” < https://sites.google.com/essec.edu/hdda-xiii/>. Professor Ahmed is a fellow of the American Statistical Association, an elected member of the International Statistical Institute, and a fellow of the Royal Statistical Society. Currently, he is serving as a member of the board of governors of the Canadian Statistical Sciences Institute (CANSSI). Ahmed was a member of the board of directors of the Statistical Society of Canada and chair of its education committee, and also the vice president of communications for the International Society for Business and Industrial Statistic. He was a member of the “Discovery Grants Evaluation Group” and the “Grant Selection Committee” of the Natural Sciences and Engineering Research Council of Canada. Ahmed authored several books and edited/coedited several volumes and special issues of scientific journals. Ahmed has been the Technometrics review editor for the past 15 years.

• Secretary

Tao Wang, University of Victoria  

Dr. Tao Wang is an assistant professor at the University of Victoria, specializing in econometrics, statistical modelling, and their applications in machine learning. His research focuses on the development of robust regression models and the exploration of their statistical properties across various applications. He has published his work in prestigious journals, including Journal of Econometrics, Statistica Sinica, JRSSA, JCGS, JMVA, JTSA, and CJS. Dedicated to service and community engagement, he is passionate about fostering the growth of statistics in business and industrial contexts.

Data Science and Analytics (3-year term)

• President-elect 

                    [President, 2026-2027; Past President,2027-2028]

Saman Muthukumarana, University of Manitoba

Dr. Saman Muthukumarana is a professor and head of the Department of Statistics at the University of Manitoba, where he also served as the founding director of the data science initiative at the University of Manitoba. He joined the department as an assistant professor in July 2010, was promoted to associate professor with tenure in 2016 and became a full professor in 2022. He earned his BSc Honours special degree in statistics from the University of Sri Jayewardenepura in Sri Lanka. He completed his MSc in statistics at Simon Fraser University in April 2007 and obtained his PhD in statistics from the same institution in June 2010. His primary research interests include Bayesian methods and computation for complex models with multi- and interdisciplinary applications. He has developed methods for modelling and inference on nonstandard complex data, leading to innovative analyses in areas such as social networks, health studies, sports analytics, customer and user behaviour analytics, and environmental and ecological studies. Throughout his career, Dr. Muthukumarana has secured over $8.4 million in research funding from various sources, including the Natural Sciences and Engineering Research Council of Canada (NSERC), Mitacs, the Canadian Statistical Sciences Institute (CANSSI), Fisheries and Oceans Canada, the Canadian Institutes of Health Research (CIHR), and Research Manitoba. In addition to his research and teaching, Dr. Muthukumarana has made significant contributions to the Statistical Society of Canada (SSC) through his service on various committees. His roles include serving on the committee on new investigators, the local arrangements committee for the 45th annual meeting, the student travel grants committee (including as chair), the research committee (including as chair), the Canadian statistics heads committee (as chair), the Canadian Journal of Statistics Award committee, and the CANSSI/SSC seminar series committee. He also cochaired the working group on statistics in AI and data science, reflecting his dedication to advancing statistical research and education in Canada.

Probability Section Executive (3-year term)

• President-elect

                     [President, 2026-2027; Past President,2027-2028]

Bouchra Nasri, Université de Montréal

Bouchra Nasri is a faculty member in the Department of Social and Preventive Medicine at Université de Montréal. She holds an FRQS Junior 1 award in artificial intelligence in health and digital health and is a principal investigator on grants funded by NSERC and CIHR in theoretical statistics for complex data and mathematical modelling for infectious diseases. Since March 2023, she has been nominated as chair of PathCheck's Data Informatics Center of Epidemiology and since 2024 she is codirector of RSN’s digital health network. She has authored and coauthored multiple papers on time series, dependence modelling, multivariate statistics, and mathematical modelling for infectious diseases. She was previously the managing editor of the Canadian Journal of Statistics, and the chair of the EDI committee of the SSC. She is currently a board member of the SSC.
 

• Secretary

Cody Hyndman, Concordia University

Cody Hyndman is a professor in the Department of Mathematics and Statistics at Concordia University. He joined Concordia in 2006 and served as department chair from 2017 to 2023. He received his PhD from the Department of Statistics and Actuarial Science at the University of Waterloo (2005). He previously served the SSC as on the board of governors as an elected regional representative for Quebec (2018–2020, 2020–2022) and a member of the fundraising committee (2018–2021). He is currently a member of the SSC finance committee. He was a guest editor of a special issue on “Stochastic models, statistics, and finance” of the Canadian Journal of Statistics (2020). His research interests include mathematical and computational finance; probability and stochastic analysis; filtering and control; and machine learning algorithms.

Statistical Education Section Executive (3-year term)

• President-elect

                     [President, 2026-27; Past President,2027-2028]

Carolyn Augusta, University of Saskatchewan

Dr. Carolyn Augusta is a passionate, award-winning statistics lecturer who has proudly taught business statistics courses for the Edwards School of Business since 2019. Carolyn strives to create a level playing field for all students to succeed regardless of their math background. Carolyn received her BMath in Honours Statistics Co-op (French Minor) from the University of Waterloo. Her graduate degrees (master’s and PhD in applied statistics) are both from the University of Guelph. She currently serves as the chair of the academic programs committee of University Council at the University of Saskatchewan and is a former member of the board of governors and senate of the University of Guelph. Carolyn has also served as the secretary of the Business and Industrial Statistics Section of the SSC (2022–2025) and is a member of the local organizing committee for the SSC annual meeting (2025, Saskatoon). 

• Secretary

Alex Shestopaloff, Memorial University

Alex Shestopaloff is a statistician at the Memorial University of Newfoundland, working on methodology for computational statistics, especially Bayesian inference, network science, and applications of statistics to finance. He is also closely interested in teaching modern statistics to graduate and undergraduate students and promoting the development of novel statistics courses across Canada. Over the past 2 years, Alex has developed and taught courses in the Master of Data Science program at Memorial, including reinforcement learning and computational statistics. Alex was educated in Canada at the University of Toronto (BSc in statistics, 2008 and PhD in statistics, 2016).

Survey Methods Section Executive 

• President-elect (3-year term)

                    [President, 2026-2027; Past President, 2027-2028]

Anne-Sophie Charest , Université Laval

Anne-Sophie Charest is an associate professor in the Department of Mathematics and Statistics at Université Laval. She holds an undergraduate honours degree in probability and statistics from McGill University and obtained a PhD in statistics from Carnegie Mellon University under the supervision of Prof. Steve Fienberg. Her research interests focus on the protection of the confidentiality of statistical data, including in the context of surveys or population census. She is particularly interested in the generation and analysis of synthetic datasets as well as the measurement of disclosure risk, particularly through the differential privacy framework. Anne-Sophie is a member of the Big Data Research Center and the Institut intelligence et données at Université Laval, and she is affiliated with the Statistics Lab of the Centre de recherches mathématiques (CRM).  

• Secretary (2-year term)

Lily Yin, Statistics Canada

Lily Yin has completed her studies at the Université de Montréal and graduated in 2019 with a Bachelor of Science. Following her studies in mathematics and statistics, she started her career as a methodologist at Statistics Canada in Ottawa. She has been a methodologist in the Social Statistics Methods Division since August 2019. She currently works on the Canadian Oral Health Survey as a senior methodologist. Over the last few years, her work on different projects at Statistics Canada has allowed her to not only broaden her knowledge related to imputation and estimation but also improve her skills in communication and the ability to work efficiently with others.

Part 4: Accreditation 

• Accreditation Committee 

(Candidates for a three-year term: 2025-2028; Four to be elected)

Dena Schanzer, MSc, P.Stat.

Dena Schanzer, MSc, P.Stat. since 2009, has recently retired from a career at the Public Health Agency of Canada, where she worked with colleagues in guideline development for infectious disease policy, risk assessment, intervention research, health economics and decision-making committees such as NACI (National Advisory Committee on Immunization). She has been active in the Statistical Society of Canada: accreditation committee (2010–2013, 2024) case studies in data analysis committee (2016, 2017). Since retirement she has continued to remain active in the field; for example, authoring a chapter for a book on data translation with a focus on data translation for public health decision-making. She also has a few consulting projects related to interpreting data on infectious disease epidemics and continues to peer review for medical and public health journals.    

Sabina Dobrer, P.Stat. 

As a Senior Statistician accredited by the Statistical Society of Canada (P.Stat.), I bring over two decades of expertise in biostatistics, epidemiology, and data science, contributing significantly to women's health and transplantation research. My work at the Women's Health Research Institute (WHRI) focuses on advancing epidemiological methods, supporting innovative research, and providing statistical consultations for diverse clinical and genomic studies. With a strong foundation in designing, executing, and analyzing large-scale datasets, I utilize cutting-edge analytical techniques and machine learning to derive meaningful insights and address complex research questions. Beyond my research contributions, I am dedicated to mentoring and educating the next generation of medical and graduate students, fellows, and faculty members in statistical methodologies and data science. As the founder and CEO of ARTium Analytics, I also offer specialized consulting services in health and social policy research, focusing on data management, statistical analysis, and machine learning. My passion lies in applying advanced data solutions to real-world challenges, collaborating across disciplines, and translating research into impactful health outcomes.

Dr. Olu Awosoga, P.Stat.

I am a statistician by training with over 35 years of postsecondary teaching experience. As a Nigerian and Canadian citizen, I am a full professor (tenured) and the past board of governors teaching chair (2019–2021) at the University of Lethbridge. My research program spans many areas of statistical applications, which include quantitative research methods, parametric/nonparametric statistics, statistical modelling, psychometrics, meta-analysis, moral distress, quality of life, health and well-being of workers in both childcare and continuing care environments, aging, dementia in the elderly, Aboriginal housing and homelessness in Canada, to mention a few. I was a Carnegie African Diaspora fellow (2021) at the College of Medicine, University of Ibadan, and Chrisland University, Abeokuta. I have demonstrated educational and administrative leadership at various levels within the university and (inter)nationally. In my 35 years of service, three themes emerge: student-centred service, review, and professional work in my field extending to global health, as well as a commitment to engaging with the broader community.

Dr. Grace Kwong, P.Stat.

Grace P. S. Kwong is a consultant biostatistician and data scientist, and an adjunct assistant professor at the University of Calgary. She provides statistical expertise and methodological consultation to researchers and trainees with nonstatistical backgrounds. She enjoys teaching biostatistics and helping clinical and nonclinical research professionals understanding statistical concepts and relationships among data in bioscience using statistical methods. Grace received her PhD in statistics from the University of Warwick, UK, and she is an accredited Professional Statistician (P.Stat.) by the SSC.

Dr. Banibrata Roy, P.Stat.

Banibrata Roy is a hardcore statistician who has bachelor’s, master’s, MPhil, and PhD degrees in statistics, apart from receiving the Professional Statistician (P.Stat.) accreditation from the Statistical Society of Canada in March 2017. Working in the field of higher education for the last 30 years, serving as faculty, researcher, consultant, assessment and accreditation specialist, he has a wide range of research publications in statistical quality control, biostatistics, program evaluation, nursing, critical care, and dementia. He also has a strong expertise in educational measurement and database administration, designing data-driven program evaluation skills in psychometric analysis, research design, reliability, and validity. On a more personal note, Dr. Roy has a variety of hobbies and interests including philately, playing chess, soccer, swimming, and a huge passion for teaching complex principles of statistics in a lucid, entertaining way.

• Accreditation Appeals Committee 

(Candidates for a three-year term: 2025-2028; 2 to be elected)

Dr. Karelyn Davis, P.Stat.

Karelyn Davis is a research manager in the Centre for Communicable Diseases and Infection Control at the Public Health Agency of Canada, leading a team of statisticians and mathematicians who conduct infectious disease modelling and research. Karelyn holds a PhD in probability and statistics from Carleton University, along with a Master of Science in statistics and Bachelor of Science (Joint Honours) in pure mathematics and statistics from Memorial University of Newfoundland. Karelyn has experience in collaborating with a variety of scientific colleagues such as nutritionists working on Canada’s Food Guide, sociologists conducting research in support of the Census program at Statistics Canada, and health researchers in support of risk assessments, survey design, and laboratory experimental design. She has also offered statistical training to government colleagues and taught university statistics courses on a part-time basis to both undergraduate and graduate students. From 2021–2024 Karelyn served as a member of the NSERC Scholarships and Fellowships Committee for mathematical sciences. She has been accredited by the SSC as a P.Stat. since 2012.

Dr. Elmabrok Masaoud, P.Stat.

I am an experienced assistant professor with a strong background in higher education. As a skilled statistician and epidemiologist, I have a solid record of providing effective data solutions and scientific guidance to program managers and senior leaders. My expertise includes offering statistical support for complex research, academic, and government initiatives and designing and implementing surveillance programs. I am proficient in data compilation and cleaning and excel in quantitative and qualitative data analysis. I hold a PhD in biostatistics.

Dr. Kathryn Morrison, P.Stat. 

Dr. Kathryn Morrison is an accredited statistician with over 20 peer-reviewed publications in journals such as Statistics in Medicine and The Lancet. Her favourite thing about being a statistician is that she enjoys consulting across disciplines from genomics to clinical research, as the famous statistician John Tukey said, “you get to play in everyone’s backyard.” Kathryn oversees a team of data scientists and software developers and leads development of statistical technology at her company. She is also an adjunct professor at McGill University in the Department of Epidemiology and Biostatistics. Outside of her professional duties, Kathryn organizes the Montréal chapter of R-Ladies.

The SSC Election Committee 2024–2025

Shirley Mills, Chair and SSC Past-President, Carleton University

Alexandru Badescu, University of Calgary

Jinko Graham, Simon Fraser University

Farouk Nathoo, University of Victoria

Matthew Greenberg, University of Calgary

Yildez Yilmaz, Memorial University

Thomas Salisbury, York University

Éric Gagnon, Institut de la statistique du Québec

Milena Kurtinecz, Bayer

Radu Craiu, University of Toronto

Derek Bingham, Simon Fraser University