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Rooms 10031 & 10032, 700 University Avenue, Toronto, ON M5G 1X6
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  • May 22, 2024 from 9:30am to 4:30pm


CANSSI Ontario Research Day 2024

This is a free, in-person event.

The CANSSI Ontario Research Day will showcase the work and discoveries by early-career researchers in the statistics community in Ontario. This one-day event draws participants from many Ontario universities, public, not-for-profit, and the research sector for a full day of data and discoveries.

2024 Themes
Financial, Actuarial, and Data Sciences, Big Data, Health Data, and Statistics Theory.

Lunch, as well as drinks and snacks during the morning and afternoon breaks, will be provided.
Seating is available on a first come, first served basis, subject to venue capacity.

May 22, 2024
9:30 am – 10:00 am
Light Breakfast

10:00 am – 10:05 am
Welcoming Remarks by Dr. Lisa Strug

10:05 am – 11:25 am
Presentations by Ontario-based Faculty.
Moderator: Hanna Jankowski, York University

– Devan Becker, Department of Mathematics, Wilfrid Laurier University
Identification of Variants of Concern Without Knowing What a Variant is

– Xin Bing, Department of Statistical Sciences, University of Toronto
Linear Discriminant Regularized Regression

– Sanjeena Dang, School of Mathematics and Statistics, Carleton University
A parsimonious family of mixtures of multivariate Poisson log-normal factor analyzers for clustering count data

– Utkarsh Dang, School of Mathematics and Statistics, Department of Health Sciences, Carleton University
Modeling data from rare diseases: a spotlight on Duchenne muscular dystrophy

11:25 am – 11:30 am

11:30 am – 12:50 pm
Presentations by Ontario-based Researchers

– Osvaldo Espin Garcia, Department of Epidemiology and Biostatistics, University of Western Ontario
Finding your niche: Launching a research program in biostatistics

– Kevin Granville, Department of Mathematics and Statistics, University of Windsor
Investigating changes in the timing of Ontario’s wildland fire season: a spatial perspective

– Pratheepa Jeganathan, Department of Mathematics and Statistics, McMaster University
Enhancing LDA for Longitudinal Microbiome Studies

– Brian Ling, Department of Mathematics and Statistics, Queen’s University
Nonparametric Likelihood Ratio Test for Univariate Shape-constrained Densities

12:50 pm – 1:30 pm
Lunch & Trainee Poster Session

1:30 pm – 3:10 pm
Presentations by Ontario-based Researchers

– Pouria Ramazi, Faculty of Mathematics & Statistics, Brock University
The shortcut-PC algorithm

– Kelly Ramsay, Department of Mathematics and Statistics, York University
Differentially private projection-depth-based medians

– Justin Slater, Department of Mathematics & Statistics, University of Guelph
Overdispersed or under-reported? A practical look at network autoregressions for under-reported infectious disease data

– Lan Wen, Department of Statistics and Actuarial Science, University of Waterloo
Estimating the average causal effects of food substitution strategies

– Joseph Jay Williams, Computer Science, University of Toronto

3:10 pm – 3:15 pm
Closing Remarks by Dr. Rohan Alexander

3:15 pm – 3:30 pm
Transition to 2024 DLSS with Dr. Susan Holmes
Register here: