The twelfth annual Canadian Statistics Student Conference (CSSC) took place on Saturday, June 1st, 2024 at Memorial University in St. John’s, Newfoundland
The booklet for the CSSC 2024 which includes all abstracts, details about our sessions and other relevant information is available here.
Pictures of the event, taken by Peter Macdonald and Léo Belzile, are available here.
Scientific Program Results
Participants who submitted their abstracts in both English and French were automatically entered in a random draw for a \$50 gift card. The winner was Ariane Boivin from Laval University.
The results of each competition are listed below. The number of podium positions in each competition were adjusted to account for the proportion of students competing in each category.
Bachelor’s - Oral Presentation
1. Zirui Dong, Arsenic Contamination in Nova Scotia’s Domestic Well Water: a Spatial-Temporal Statistical Analysis
Master’s - Oral Presentation
1. Assane Kholle, Grouping methods for multilevel categorical variables in a GLM
2. Parham Pishrobat, Introducing Dynamic Regression Model for Hydrological Inference
3. Kyle Gardiner, BLESS: Bagged Logistic Regression for Biomarker Identification
4. Reshani Abayasekara, A functional curve registration approach to understanding physical activity levels measured by accelerometers
PhD - Oral Presentation
1. Michael Agronah, Are Microbiome Studies Underpowered? Investigating Power in Differential Abundance Studies
2. Rachel Lobay, Retrospective estimation of latent COVID-19 infections over the pandemic in U.S. states
3. Tianyi Pan, Distributed Lag Nonlinear Models Using Penalized Splines with Application in Air Pollution Epidemiology
4. Bartosz Glowacki, Ruin probability and rare event simulation
Bachelor’s - Poster Presentation
1. Juan Liyau, Intuitive Segmentation for Hyperspectral Fluorescence Imaging in Ophthalmology: an Innovative Machine Learning Tool
2. Benjamin Frizzell, Optimal Experimental Design using Simulated Annealing
Master’s - Poster Presentation
1. Yutong Lu, A statistical framework to integrate large chemical language models for molecular property analysis
2. Ankita Shelke, Optimizing Canada’s Inflation: a Novel Approach Integrating Machine Learning and Deep Learning Techniques
PhD - Poster Presentation
1. Yasaman Shahhosseini, Spatiotemporal fractal based analysis of fMRI time series
2. Sarah Organ, Vertex cover matroid variable selection for controlling the false discovery rate and improving power with correlated predictors
Virtual Poster
1. Xiao Yan, Practical Implementation of Advanced Causal Inference Method: Development of an R Package for Bayesian Marginal Structural Models with Time-Varying Treatment
2. Yan Song, Developing a Brief PSP Mental Health Screening Tool with Generalized Linear Model and Regularization
Virtual Posters
| Presenter | Title | Links |
|---|---|---|
| Yan Song | Developing a Brief PSP Mental Health Screening Tool with Generalized Linear Model and Regularization | Poster |
| Minoli Munasinghe | A robust regression model in the presence of missing and censored data | Poster / Video |
| Shaomeng Yin | Improving Predictive Ability for Student Academic Performance through Imbalanced Data Handling | Poster |
| Saeid Moradi | Skin Cancer Detection Using Deep Convolutional Neural Networks | Poster / Video |
| Meira Golberg | Using Multiple Imputation to Deal with Missing Data in the Canadian Longitudinal Study on Aging | Poster |
| Xiao Yan | Practical Implementation of Advanced Causal Inference Method: Development of an R Package for Bayesian Marginal Structural Models with Time-Varying Treatment | Poster / Video |
| Azar Taheri Tayebi | Can smartphone apps reveal fishing catch rates and durations? | Poster |
Keynote Address
The keynote address was delivered by Richard Cook, University Professor at the University of Waterloo in the Department of Statistics and Actuarial Science. Professor Cook spoke about identifying dependent selection and observation schemes and mitigating their effects in life history studies.
Career Panel
Participants had the opportunity to attend a career Q&A session featuring Noel Cadigan (Memorial University - Marine Institute), Jayde Eustace (Aviva Insurance) and Bethany White (University of Toronto).
Scientific Workshop
Jiguo Cao, Professor in the Department of Statistics and Actuarial Science at Simon Fraser University, led a tutorial on Functional Data Analysis in R.
Contact Us
For more information regarding CSSC 2024, please contact the CSSC organizing committee at ssc.student.conference@gmail.com.
Sponsors
