The Tenth Annual Canadian Statistics Student Conference

Virtual - Virtuel
Saturday, May 28, 2022
CSSC 2022

The tenth annual Canadian Statistics Student Conference (CSSC) will take place on Saturday, May 28th, 2022, the day before the Statistical Society of Canada 2022 Annual Meeting opens. Given the current ongoing COVID-19 pandemic and its recent developments, the CSSC 2022 will be entirely online and free.

This conference is all about engaging students through research presentations, statistical skills development workshops and talks, and an interactive career session with invited statisticians from different professional areas. Registration is now closed. We look forward to seeing you at the conference on Saturday, May 28!

The booklet for the CSSC 2022 which includes all abstracts, details about our sessions and other relevant information is available here.


Student Research Talks

Opportunity for students across Canada to give talks on their statistics-related research, and to network with others who share their interests.


Poster presenters will be available between 1:35 to 1:55 EDT in Zoom rooms 2, 3 and 4 for any questions that you may have.

Presenter Title Links
Anthony Rinaldi A Transformer-Based Classification System for Volcanic Seismic Signals Poster
Chong Gan Association Tests under Gaussian Mixture Regression Models Poster
Danielle Tsao scAnnotate: an automated cell type annotation tool for single-cell RNA-sequencing data Poster
Elijah Cavan MoneyBall 2.0: Optimal Roster Construction by Portfolio Allocation Poster
Elsayed Ghanem Shrinkage Estimators for Mixture of Logistic Regression Models: An Osteoporosis Study Poster
Hanna Frank Sensitivity of Scalable Collaborative Targeted Maximum Likelihood Estimation (SC-TMLE) to the Specified Covariate Pre-Ordering in Right Heart Catheterization Poster
John Tsang Intra-day Bitcoin Price Prediction with Machine Learning and Ensemble Methods Poster
Philipp Ratz Collaborative Insurance Sustainability & Network Structure Poster
Si Chen Fitting Left Truncated Data using Aggregate Loss Model with Poisson-Tweedie Loss Frequency Poster
Sihaoyu Gao Nonlinear Mixed-Effects Models for HIV Viral Load Trajectories Before and After Antiretroviral Therapy Interruptions, Incorporating Left Censoring Poster
Sophie Collins Regression with Imprecise Data via the Expectation-Maximization Algorithm Poster
Yingshuo Li The Effects of COVID-19 on the Real Estate Market Poster



We are pleased to announce a keynote address given by Lisa Lix, Professor of Biostatistics in the Department of Community Health Sciences at the University of Manitoba, a Tier 1 Canada Research Chair in Methods for Electronic Health Data Quality, and Director of the Data Science Platform in the George & Fay Yee Centre for Healthcare Innovation at the University of Manitoba. Her research expertise lies in statistical methods for complex healthcare data and patient-reported outcome measures. She collaborates widely with research groups and organizations across Canada, including Health Data Research Network Canada, Canadian Network for Observational Drug Effect Studies, and the Public Health Agency of Canada. She is co-lead of the Visual and Automated Disease Analytics (VADA) training program that is offered at the University of Manitoba and University of Victoria, and also of the national Artificial Intelligence for Public Health (AI4PH) Summer Institute.

Career Panel

As part of the CSSC 2021, participants will have the opportunity to attend a career session with talks given by the following panelists:


Dr. Paul Gustafson
Statistics Professor at the University of British Columbia

Dr. Catherine Njue
Manager for the Office of Biostatistics in the Biologic and Radiopharmaceutical Drugs Directorate (BRDD), Health Canada

Francisco Rius
Head of Data Science and Data Engineering, Minecraft at Microsoft

Skill Sessions

In the era of self-driving cars, dating apps and TikTok, the spread of information and misinformation has never been easier. While scientific research remains an important pillar of our society, its proper dissemination to the general audience is arguably more important. Please join Ian Bercovitz, Director of Statistical Consulting Service from the Department of Statistics and Actuarial Science at Simon Fraser University, who will be presenting the 2022 CSSC skills session on scientific communication around the presentation of statistical analyses.

Ian Bercovitz,
Director of Statistical Consulting Service, Statistics and Actuarial Science at Simon Fraser University

Scientific Workshop

Dr. John Braun from the Department of Statistics at the University of British Columbia will be giving a tutorial on how to create your own R package and release it on CRAN. Prerequisites include having some familiarity with R and RStudio pre-installed on your computer.

Note: Basic Bash commands will be presented and we invite Windows users to install a Unix-like shell if they wish. For instance, an Ubuntu terminal is available in the Microsoft App Store whereas Cygwin would work well too. This is not mandatory for this workshop as a Windows RStudio demo will be included.


As part of the CSSC 2022, we will have social breaks between events and a networking lunch to meet current PhD students from various universities across Canada. At the end of the day, a trivia contest will close off the conference.


The following prizes will be awarded for undergraduate, Master’s and PhD levels:

  • Best Posters of the CSSC Student Conference Awards
  • Best Oral Presentations of the CSSC Student Conference Awards

In addition, participants who submit their abstracts in both English and French are automatically entered in a random draw for our Translation Award! Submissions using an online translator will not be considered for this draw.

Contact Us

For more information, please contact the CSSC Student Conference organizing committee at
To keep up to date on the conference, follow us on Twitter at @CSSC2022!


We would also like to thank our sponsors: