2021 SSC Elections
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, 2021. 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 15.
Members of the Executive Committee
(Three-year terms)
President-Elect
[President, 2022–23; Past President, 2023–24]
Bruno Rémillard, HEC Montréal
Bruno Rémillard is an honorary professor at HEC Montréal. After completing a PhD in Probability at Carleton University, he was a postdoctoral fellow at Cornell University, before being a professor of statistics at Université du Québec à Trois-Rivières. He is the author or coauthor of more than 90 research articles in probability, statistics and financial engineering. In 1987, he received the Pierre-Robillard Award for the best PhD thesis in probability and statistics in Canada and in 2003, he received the prize for the best paper of the year published in the Canadian Journal of Statistics. He is an IMS Fellow and he won the SSC Gold Medal in 2019. He was a consultant at Innocap, an alternative investment firm located in Montreal, where he mainly helped developing and implanting new quantitative methods for alternative and traditional portfolios. Currently, he is also a part-time consultant at the National Bank of Canada.
Executive-Secretary
Susie Fortier, Statistics Canada
Susie Fortier is the director in the International Cooperation and Methodology Innovation Centre at Statistics Canada, where she has been working for more than 20 years. She received a bachelor degree in statistics and a master's degree in mathematics from the Université de Sherbrooke. She is interested in the evolution of the technical skills required to address survey methodology challenges. She spend many years as the head of the time series group at Statistics Canada and remains forever enthusiastic about seasonal adjustment, nowcasting, time series reconciliation, and benchmarking. Her other research interests focus on data quality, data ethics, and data disaggregation. Susie is also the production manager of the scientific journal Survey Methodology. She was a member of the executive board of the SSC survey method section from 2017–2020 and recently joined the SSC bilingualism committee.
Regional Representatives on the Board of Directors
(Two-year terms)
Atlantic Provinces
(One to be elected)
Wilson Lu, Acadia University
Wilson Lu is an associate professor in the Department of Mathematics and Statistics at Acadia University. Wilson received his PhD in 2004 under Dr. Randy Sitter's supervision, and continued to work at Simon Fraser University as a PIMS postdoc supervised by Dr. Derek Bingham. Wilson's main research interests are in the areas of complex surveys, resampling methods, calibration weights, and missing data. Wilson has served on the SSC statistics education committee during 2017–2020, and has been a SSC board member during 2019–2021.
Asokan Varyath, Memorial University of Newfoundland
Asokan Mulayath Variyath is an associate professor of statistics in the Department of Mathematics and Statistics at the Memorial University. During 1991–2001, he worked as a faculty member at SQC & OR Division of Indian Statistical Institute. He obtained his PhD in Statistics from University of Waterloo in 2006 and then moved to Texas A & M University as postdoc. In 2008, he joined Memorial University as assistant professor of statistics. His main research interests are industrial statistics, design of experiments, survival analysis, and longitudinal studies. He has become involved in the development of the new first year statistics course at Memorial and also undertook a project “Improving the Students' Learning Process through the Use of Statistical Applets.” He has served SSC as a member of students travel grant committee, president of SSC Education Section 2018–19, and co-chair of the local organizing committee of SSC Annual Meeting 2021.
Québec
(Two to be elected)
Johanna Neslehova, McGill University
Johanna G. Nešlehová is a professor in the Department of Mathematics and Statistics at McGill University. She holds a PhD from the Carl von Ossietzky University Oldenburg (2004) and received the P.Stat. designation in 2015. Before coming to Canada, she was a postdoctoral fellow at ETH Zürich and at the Harvard Medical School, and later a Heinz Hopf Lecturer at ETH Zürich (2006–09). Her research interests lie in extreme-value analysis and dependence modelling with applications in biostatistics, hydrology, and risk management. She is an elected member of the International Statistical Institute, a fellow of the Institute of Mathematical Statistics and the 2019 recipient of the CRM-SSC Prize. Johanna is an associate editor of three journals, including The Canadian Journal of Statistics (CJS). She has served the SSC in various roles, notably on the Pierre Robillard and CJS Award committees, as well as the SSC representative on the JSM program and the COPSS Snedecor Award committees. She is currently an ordinary council member of the Bernoulli Society.
Karim Oualkacha, Université du Québec à Montréal
Karim Oualkacha is an associate professor in the Department of Mathematics at Université du Québec à Montréal (UQAM). He received a BSc in Mathematics and a MSc in Statistics and Operational Research from the University of Caddi Ayyad (Marrakesh), and a MSc and PhD in Statistics from Laval University. His research interests are in the statistical challenges of sparse high-dimensional data and dependence modelling with applications in the area of statistical genetics. Karim has been involved with the SSC since 2012. Among others, he has served as a member of the student travel grants committee from 2012 to 2015, and he is the institutional representative of UQAM within the SSC since 2016.
Denis Talbot, Laval University
Denis Talbot is an associate professor in the Department of Social and Preventive Medicine at Laval University. He completed his training in statistics at Laval University (BSc, MSc), Université du Québec à Montréal (PhD) and University of Washington (postdoc). He was editor in chief for the journal of the Association des statisticiennes et statisticiens du Québec between 2012 and 2017, and member of the bilingualism committee of the SSC from 2016 to 2018. He participated in the creation of graduate programs of biostatistics at Laval University and is currently the chair of these programs. He is also acting as a co-guest editor for the special section on COVID-19 for the Canadian Journal of Statistics. His research interests concern causal inference, particularly model selection, treatment regimes, mediation analysis, machine learning, and the challenges related to analyzing electronic administrative health data.
Ontario
(Two to be elected)
Kelly Burkett, University of Ottawa
Kelly Burkett is an associate professor in the Department of Mathematics and Statistics at the University of Ottawa. She received both her MSc and PhD in Statistics from Simon Fraser University, and completed postdoctoral training at McGill University in the Department of Epidemiology, Biostatistics and Occupational Health. Kelly’s research interests lie in statistical genetics. Her research has focused on the development, testing and application of statistical methodology that accounts for the genetic relationships between samples. She has been an SSC member since 2014, has previously served as the University of Ottawa SSC representative, and would be excited to serve as an Ontario regional representative.
Deli Li, Lakehead University
Deli Li obtained his PhD in Probability and Statistics in September 1994 from the University of Regina under the supervision of Professor Jim Tomkins. He has been a faculty member at Lakehead University since August 1998. He was promoted to associate professor in 2002 and to full professor in 2004. He was awarded Lakehead's Distinguished Research of the Year in 2010. Deli Li's primary research interest is in the topics related to general asymptotic theorems in probability and statistics, and their applications to a wide variety of problems, especially investigating the asymptotic behaviour in statistical applications pertaining to high dimensional data analysis problems, resampling methods, random matrix theory, etc.
Zhihui (Amy) Liu, Princess Margaret Cancer Center
Zhihui (Amy) Liu is a principal biostatistician at Princess Margaret Cancer Centre, University Health Network. She studied mathematics and statistics at McMaster University and biostatistics at McGill University. In her professional career, she worked for the Kidney Cancer Research Network of Canada, and later Cancer Care Ontario where she was involved in provincial system planning of care delivery in cancer, chronic kidney disease, and palliative care. Now at Princess Margaret, she is primarily collaborating with the Radiation Medicine Program and her current methodological interests include radiotherapy-induced normal tissue complication probability modelling. She has been an SSC member for over a decade and is enthusiastic in serving the statistical community.
Michael Rotondi, York University
Michael Rotondi is an associate professor of biostatistics in the School of Kinesiology and Health Science at York University. He completed his BMath and MSc in Statistics at Carleton University and his PhD in Biostatistics at the University of Western Ontario. In addition to a variety of collaborative projects, his primary research area is in respondent-driven sampling with applications to urban Indigenous health. These projects include co-leading a study to estimate rates of COVID-19 in urban Indigenous communities and refining meta-analysis methods for studies using respondent-driven sampling.
Since 2015, he has served as the treasurer for SORA—the Southern Ontario Regional Associations of the Statistical Society of Canada and the American Statistical Association. He is currently serving on the CIHR peer review panel for Health Services Evaluation & Interventions Research. Michael is a committed educator and received a Dean's Teaching Award of Excellence in 2016. He also co-led a recently published meta-analysis in the Journal of Statistics Education, highlighting the potential benefits of "flipped" classrooms for improving student performance in undergraduate statistics courses.
Manitoba–Saskatchewan–Northwest Territories–Nunavut
(One to be elected)
Melody Ghahramani, University of Winnipeg
Melody Ghahramani is a professor in the Department of Mathematics & Statistics at the University of Winnipeg. Her research interests include time series analysis and inference using distribution-free methods such as estimating functions and functional response models.
She has enjoyed serving the SSC as regional representative, member of committee on membership, committee on new investigators, fundraising committee, and as treasurer for Business and Industrial Statistics Section. Currently, she serves as co-chair of the statistics education committee.
Mohammad Jafari Jozani, University of Manitoba
Mohammad Jafari Jozani is currently a professor of statistics and an adjunct professor of biomedical engineering at the University of Manitoba in Canada. He is also an associate director of the Canadian Statistical Science Institute (CANSSI). His current research involves statistical learning problems with high dimensional aspects in biostatistics, engineering, and sustainable energy; small area estimation as well as statistical inference with complex sampling designs using order statistics and rank information. The focal point of his research program is on developing new methodologies, models and computational tools to solve data driven problems in a variety of application domains. He has applied his research in areas such as breast cancer studies, BMD analysis and osteoporosis, mercury contamination in fish body, and recently in the calibration problems to design simulators for training purposes in order to make surgeries safer.
Alberta–British Columbia–Yukon
(One to be elected)
Jinko Graham, Simon Fraser University
Jinko Graham is a professor of statistics at Simon Fraser University. She obtained an MSc in Statistics from University of British Columbia and a PhD in Biostatistics from the University of Washington. After a postdoctoral fellowship at the U.S. National Institute of Statistical Sciences and North Carolina State University, she joined the Department of Statistics and Actuarial Science at Simon Fraser University and has been there ever since. Her research focuses on statistical genomics and is funded by NSERC. She is particularly interested in how variation in the DNA sequences of individuals reflects their underlying genealogical relationships. These relationships can tell us about our ancestry and origins. They can also tell us about individual predisposition to inherited traits, and so are of use in mapping the genomic location of DNA variants that contribute to disease traits. She has served the SSC as an Alberta-British Columbia–Yukon representative (2018–2020), and on the student travel grants committee (2017–2020) including as chair (2018–2020). She has enjoyed the SSC meetings since her days as a master's student and looks forward to connecting with colleagues and supporting the work of the Society.
Bingrui (Cindy) Sun, University of Calgary
Bingrui (Cindy) Sun is a senior instructor in the Department of Mathematics and Statistics at the University of Calgary. She received her MSc (2009) and PhD (2013) in statistics from Memorial University, and joined the University of Calgary in 2013. Cindy’s main research interest is in statistical education and scholarship of teaching and learning (SoTL). Cindy has received university and provincial government funds to conduct SoTL projects.
Section Executives
Actuarial Science Section Executive
(Three-year terms; 2021–24)
President-Elect
[President, 2022–23; Past President, 2023–24]
Jun Cai, Waterloo University
Jun Cai is a professor of actuarial science in the Department of Statistics and Actuarial Science at the University of Waterloo. He obtained his PhD in Actuarial Mathematics from Concordia University. Prior to joining the University of Waterloo, he held a position in the Centre for Actuarial Studies at the University of Melbourne. His research interests are in the fields of actuarial science, applied probability, and mathematical finance, with focuses currently on quantitative risk management for insurance and finance, insurance decision problems, dependence modelling, and risk analysis with model uncertainty. Jun is currently serving as an associate editor for Insurance: Mathematics and Economics and for Statistical Theory and Related Fields, respectively. He also served as a guest editor for the 2015 special issue of Journal of Multivariate Analysis on “High-Dimensional Dependence and Copulas.”
Treasurer
Shu Li, Western University
Shu Li is an assistant professor in the Department of Statistical and Actuarial Sciences at Western University. She completed her PhD study in Actuarial Science at the University of Waterloo in 2015. After working as an assistant professor at the University of Illinois at Urbana-Champaign for 3 years (2015–2018), she moved back to Canada and joined Western University since 2018. She received the designation of the Associate of the Society of Actuaries. Her research focus are in the fields of exotic risk theory and ruin theory, with a particular interest in the stochastic modelling of risk processes with adaptive strategies as well as their optimality and risk management implications. She also works on the applications of statistical methods in insurance and finance.
Biostatistics Section Executive
(Three-year terms; 2021–24)
President-Elect
[President, 2022–23; Past President, 2023–24]
Joseph Beyene, McMaster University
Joseph Beyene is a professor of biostatistics and the John D. Cameron Endowed Chair in the genetic determinants of chronic diseases, Department of Health Research Methods, Evidence, and Impact, McMaster University. He received his BSc in Statistics from Addis Ababa University, MSc in Statistics from the University of Guelph, and a PhD in Biostatistics from the University of Toronto. Prior to moving to McMaster, he was a senior scientist in the Research Institute of the Hospital for Sick Children in Toronto and an associate professor of biostatistics at the Dalla Lana School of Public Health as well as at the Institute of Health Policy, Management and Evaluation, University of Toronto. Dr. Beyene’s research interests include methodology development and applications with a focus on evidence synthesis with application to public health sciences and clinical medicine; integrative statistical methods for high-dimensional data with emphasis on statistical genetics and genomics, and statistical methods for clinical trials. He served as CANSSI’s health sciences committee member and SSC’s regional representatives from Ontario. His methods development and collaborative research projects are funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Canadian Institutes of Health Research (CIHR).
Treasurer
Alexandre Bouchard-Coté, University of British Columbia
Alexandre Bouchard is an assistant professor of statistics at the University of British Columbia. He received his PhD in Computer Science from the University of California, Berkeley. His research focuses on computational Bayesian methods and applications in cancer genomics and phylogenetics. https://www.stat.ubc.ca/~bouchard/index.html
Business and Industrial Statistics Section Executive
(Three-year terms; 2021–24)
President-Elect
[President, 2022–23; Past President, 2023–24]
Reza Ramezan, Waterloo University
Reza Ramezan received his PhD in Statistics from the University of Waterloo (2014). After working as an assistant professor of statistics at California State University, Fullerton (2015–2017), Reza returned to Waterloo and started his new position as a research-active lecturer within the Department of Statistics and Actuarial Science at the University of Waterloo. Reza's research focuses on the intersection of statistics and neuroscience where he develops stochastic processes and multivariate models for neural spike trains aiming to understand how information is coded in ensembles of nerve cells (neurons). He is also interested in business statistics and consulting, and has worked as a statistical consultant with cities, manufacturing/distribution companies, and law firms. Reza has previously served on the SSC's committee on new investigators (2017–2020), and he is currently a member of the SSC's Pierre Robillard Award committee (2019–2022).
Treasurer
Brian Franczak, MacEwan University
Brian Franczak is an assistant professor in the Department of Mathematics and Statistics at MacEwan University (Edmonton, Alberta). Dr. Franczak received a PhD in Statistics from the University of Guelph in June 2014. From July 2014–June 2016, he held a position as a postdoctoral fellow at McMaster University. Predominantly, he has worked on developing mixtures of non-Gaussian multivariate distributions for model-based classification. He is also a collaborator on a number of applied papers in other fields such as neuroscience and immunology. Dr. Franczak has been a member of the SSC since 2010 and currently has a position on the SSC committee on new investigators.
Data Science and Analytics Executive
(Three-year terms; 2021–24)
President-Elect
[President, 2022–23; Past President, 2023–24]
Tiffany Timbers, University of British Columbia
Tiffany Timbers is an assistant professor of teaching in the Department of Statistics and an codirector for the Master of Data Science program (Vancouver Option) at the University of British Columbia (UBC). She received her PhD in Neuroscience in 2012 from UBC, following which she held a Banting Postdoctoral Fellowship at Simon Fraser University where her research focused on cell biology & genomics. This postdoctoral research was data intensive and required the application of data science and statistical methodologies. After her research Postdoctoral Fellowship, Tiffany joined the founding team who developed the Master of Data Science program at UBC as a Postdoctoral Teaching and Learning Fellow. In 2018, she joined the Department of Statistics at UBC in her current role of assistant professor of teaching. Currently she teaches and develops curriculum around the responsible application of data science to solve real-world problems. One of her favourite courses she teaches is a graduate course on collaborative software development, which focuses on teaching how to create R and Python packages using modern tools and workflows.
Industrial Advisor
Ella Hilal, Shopify
Ella Hilal is the head of Data Science and Engineering for the Growth and Revenue Organizations at Shopify. She joined Shopify 3 years ago as the director of Data Science and Engineering for Plus and International at Shopify. She is an active researcher and a subject matter expert with more than 15 years of experience in data intelligence, machine learning, ambient intelligence, autonomous systems, and Internet of Things, backed by versatile experience in academia and the tech industry in proactive innovation, solution development, and turning novel ideas into revenue-generating products. Dr. Hilal has been recognized as one of the leading women in the Internet of Things and Machine-to-Machine space by the Connected World forum. She has a doctorate degree in pattern analysis and machine intelligence from the University of Waterloo. Dr. Hilal is also an adjunct assistant professor at the University of Waterloo. Dr. Hilal has been recognized with numerous prestigious awards, most prominent of which are NSERC IRDF, NSERC CGS, Fulbright, DAAD, and OGS. Dr. Hilal is an active evangelist for responsible innovation, women in tech, and STEM. She has also been recognized by the Google Anita Borg Memorial Scholarship as a Google scholar for her active role and leadership in supporting women in technology. She has been recognized as a champion in a Women in Technology Peer2Peer group, where professionals in the Waterloo region explore challenges and share insights to encourage retention and advancement of women in technology.
Probability Section Executive
(Three-year terms; 2021–24)
President-Elect
[President, 2022–23; Past President, 2023–24]
Shui Feng, McMaster University
Shui Feng is a professor in the Department of Mathematics and Statistics at McMaster University. He received his PhD in Mathematics in 1993 from Carleton University, and joined McMaster University afterwards. He served as associate chair (statistics) in the Department of Mathematics and Statistics between July 2017 and June 2020. His research interests include measure-valued processes, stochastic analysis, hydrodynamic limit, limit theorems, statistical physics, stochastic models in finance, and Bayesian non-parametrics. He has been a member of SSC since 2005.
Statistical Education Section Executive
(Three-year terms; 2021–24)
President-Elect
[President, 2022–23; Past President, 2023–24]
Wesley Burr, Trent University
Wesley Burr is an assistant professor of statistics at Trent University in Ontario, Canada. Wesley completed his PhD at Queen's University in 2012 and was a postdoctoral research fellow at Health Canada's Population Studies Division (2013–16) before coming to Trent. His research is currently focused on time series modelling, spectrum estimation methodology, and environmental epidemiology, the last concerned with temporal and spatial considerations in the interactions of air pollution and population health. In addition, Wesley is keenly interested in statistical education pedagogy, and has received several university awards for teaching excellence, including the Symons Award for Excellence in Teaching in 2019. Wesley has been a member of the SSC since 2007, and joined the Statistical Education Section in 2013, becoming treasurer in 2017. He also recently joined the SSC finance committee, and the finance-investments subcommittee.
Treasurer
Wanhua Su, MacEwan University
Wanhua Su is an associate professor in the Department of Mathematics and Statistics at MacEwan University. She received a BSc in Applied Mathematics from East China Normal University, a MSc in Statistics from the National University of Singapore, and a PhD in Statistics from the University of Waterloo. Wanhua’s research interests are in data mining, biostatistics, and Bayesian statistics. She is a member of the SSC Statistical Education Section and the Biostatics Section. Wanhua is currently a member of the SSC committee on women in statistics (COWIS).
Survey Methods Section Executive
President-Elect
(Three-year term; 2021–24)
[President, 2022–23; Past President, 2023–24]
Wilson Lu, Acadia University
Wilson Lu is an associate professor in the Department of Mathematics and Statistics at Acadia University. Wilson received his PhD in 2004 under Dr. Randy Sitter's supervision, and continued to work at Simon Fraser University as a PIMS Postdoc supervised by Dr. Derek Bingham. Wilson's main research interests are in the areas of complex surveys, resampling methods, calibration weights, and missing data. Wilson has served on the SSC statistics education committee during 2017–2020, and has been a SSC board member during 2019–2021.
Secretary
(Two-year term; 2021–23)
Elizabeth Ayres, Statistics Canada
Elizabeth is currently working as a mathematical statistician in the Social Statistics Methods Division at Statistics Canada. She completed her Bachelor of Science Honours in Physical Science with a minor in statistics in 2016 at the University of Guelph, and has been working at Statistics Canada since June 2016. Her experience as a mathematical statistician has covered a broad range of applications, including data editing and outlier detection, confidentiality, survey sample allocation and selection as well as survey weighting. Prior to working at Statistics Canada, she gained experience as a statistical consultant, providing services for the Chippewas of Nawash Unceded First Nation and Dieticians Canada. Elizabeth currently holds a position on the scientific committee for the upcoming International Methodology Symposium.
Accreditation Program Committees
Accreditation Committee
(Two to be elected)
(Three-year terms; 2021–24)
Eshetu Atenafu, Princess Margaret Cancer Center
Eshetu G. Atenafu joined the Department of Biostatistics in November of 2010, as a senior biostatistician to get involved in collaborative research at the Princess Margaret Cancer Centre, University Health Network, Toronto. Prior to joining University Health Network, he was working as a biostatistician at the Hospital for Sick Children for more than 5 years and as a statistical analyst for 3 years. His involvement in such collaborative research includes design considerations of a study, analysis of data, interpretation of results and preparation of manuscripts for publication in peer-reviewed journals. His primary work interests include survival data analysis, longitudinal data analysis, categorical data analysis, simulation study, as it is applied to health services research and clinical trials. He completed his Master in Statistics at University of Alberta, and is a PhD candidate in the Department of Biostatistics, University of Toronto. A member of the SSC with P.Stat. designation since May 2013, Eshetu is also a member of the executive committee of the Southern Ontario Regional Association of the SSC.
Milena Kurinecz, GlaxoSmithKline
Milena Kurtinecz is an associate director with Bayer Pharmaceuticals. For nearly two decades, Milena Kurtinecz has provided statistical expertise and leadership to maximize the value of existing clinical trial data and real-world data to support drug development, the needs of the disease area, unmet medical needs, and reimbursement. Milena provides statistical and methodological consultation on special statistical methodology and mentors statisticians and statistical analysts. She enjoys teaching biostatistics to clinical research professionals. Milena received her DPhil from the University of Oxford, England, and master’s degrees in Biostatistics and Clinical Epidemiology from the University of Pennsylvania, USA and York University, Canada. Milena has been an accredited statistician since 2005.
Accreditation Appeals Committee
(Two to be elected)
(Three-year terms; 2021–24)
Banibrata Roy
Banibrata Roy had been the director of quality improvement and accreditation at the Northern Ontario School of Medicine, working in the field of higher education for the last 30 years as faculty, researcher, consultant, and administrator in three countries—India, Canada, and USA. Prior to that, he worked as director of institutional research, strategic planning and assessment at two institutions in USA, Shawnee Community College in Illinois and Community College of Aurora in Denver, Colorado, other than several teaching assignments in statistics. His other experiences include teaching as biostatistics faculty and senior assessment specialist at the School of Pharmacy, Fairleigh Dickinson University, New Jersey; assistant professor and academic advisor, Undergraduate Medical Education at the University of Manitoba; senior statistical consultant at Manitoba Bureau of Statistics; statistics/epidemiology faculty at Red River College and Humber College and senior research psychometrician at MultiHealth Systems, Toronto. Prior to that, he worked as professor in statistics for 23 years at the M.S. University of Baroda, India.
Dr. Roy is a hardcore statistician having a P.Stat. and BS, MS, MPhil, PhD degrees in statistics. He has a wide range of publications in industrial statistics, biostatistics, sampling, program evaluation, and dementia. He 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 interest in philately, playing chess, soccer, swimming, and a huge passion for teaching complex principles of statistics in a lucid, entertaining way, integrating software induced pedagogy.
Lennon Li
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 the 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 the University of Toronto. 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.