Save the Date and Submit an Abstract!

The Canadian Society for Epidemiology and Biostatistics is pleased to officially announce that the inaugural CSEB Virtual Conference will take place on:

June 16-17, 2026

In recent years, virtual gatherings have offered an additional way to connect our community across regions and disciplines. Following requests from CSEB members to provide more opportunities for knowledge sharing and networking between our in-person biennial conferences and building on lessons learned during the COVID-19 pandemic, we are excited to host a virtual conference in 2026 to maximize accessibility, minimize costs and travel barriers, and create opportunities for participation from a diverse range of voices.

The inaugural CSEB Virtual Conference will bring together researchers, trainees, public health professionals, and policymakers to share cutting-edge work in epidemiology and biostatistics. This online event will feature exciting keynote and panel sessions, concurrent oral presentations, and rapid fire presentations from top-ranked abstracts.

Visit this page often for more event details, including the call for abstracts and program details!

Important Dates
Abstract submissions open: Monday, December 8, 2025
Abstract submission deadline: Wednesday, February 18, 2026
Notification of Decisions: Week of March 9, 2026

Submit an Abstract!
Abstract Guidelines

Registration

All registration fees listed are before tax.

Students & PostDocs
MEMBER
 $100.00
NON-MEMBER
 $160.00
Faculty / Other
MEMBER
 $175.00
NON-MEMBER
 $285.00

Keynote Speaker

Ellie Murray
Dr. Ellie Murray is an epidemiologist and biostatistician who specializes in translational methodology to bridge the gap between theoretical methodologists and applied scientists, and improve the uptake of novel methods in medicine and public health research. She focuses on causal inference methods to answer comparative effectiveness questions for complex and time-varying treatments using observational data and randomized trials when available, and individual-level simulation modeling when insufficient data exist in the time frame required for decision-making. Dr Murray holds an ScD in Epidemiology and MSc in Biostatistics from Harvard, an MPH in Epidemiology from Columbia University Mailman School of Public Health, and a BSc in Biology from McGill University. She writes the E is for Epi newsletter, cohosts the podcast Casual Inference, and can be found on social media under the handle @epiellie.