CANSSI Grand Opening Lightning Talks

December 7, 2018

11:00-12:30 PST at Simon Fraser University
13:00-14:30 CST at University of Manitoba
14:00-15:30 EST at McGill and Western Universities
15:00-16:30 AST at Dalhousie University

To kick-off the celebration of the opening of CANSSI’s national headquarters, we invite you to these lightning talks. This live broadcast will feature a series of short talks highlighting some very exciting CANSSI Collaborative Research Teams, Health Science Collaborating Centres and conferences. It includes speakers at SFU as well as across the country. Read more about the speaker and their talks below.

You may attend at a location listed below, and be able to watch all of the engaging talks. Follow the link to register for your preferred location. 
Join us for networking and light refreshments after the talks. 

Or watch the live broadcast online!

Speakers and Talk Abstracts

Statistical Methods for Challenging Problems in Public Health Microbiology
by Leonid Chindelevitch
Pathogenic microbial organisms cause a significant burden of disease. One particularly relevant problem is drug resistance, whereby a pathogen no longer responds to a drug treatment. The availability of fast, reliable and affordable whole-genome sequencing methods has the potential to revolutionize the control of drug resistance and the spread of epidemic outbreaks. To fully harness the power of these methods we need novel statistical techniques for microbial data, which we will develop in this project.

Joint Analysis of Neuroimaging Data: High-dimensional Problems, Spatio-Temporal Models and Computation
by Farouk Nathoo
Uncovering the mysteries of the brain, including its function and structure, is a key challenge of modern science. Advances in the speed and accuracy of data acquisition through modern neuroimaging tools allow for great opportunity to understand brain neuroanatomy and function in health and disease. The development of methods for the analysis of neuroimaging and combined neuroimaging and genetic data is an important area of statistical research. This talk will highlight the work of our CANSSI Collaborative Research Team on the development of methods for such data. 

VanSASH: The First Soccer Analytics Hackathon in North America
by Dani Chu
The Vancouver Sports Analytics Symposium and Hackathon creates an avenue for students to learn and display their skills in statistics. This student run event brings together beginners and experts to work on real world problems provided by the Vancouver Whitecaps with the hope to give participants the vision, ability and opportunity to improve their skills with data and analytics in sports.

The Manitoba Statistical and Health Sciences (MB-SAHS) Collaborating Centre: Innovations in Collaborative Training
by Lisa Lix
The Manitoba Statistical and Health Sciences (MB-SAHS) Collaborating Centre is hosted by the George and Fay Yee Centre for Healthcare Innovation (CHI) at the University of Manitoba. The CHI is the home of Manitoba’s SPOR (Strategy for Patient-Oriented Research) SUPPORT Unit. MB-SAHS is partnering with existing training programs in visualization and data analytics for the health sciences and taking advantage of the CHI training platform to bridge the connection between the statistical and health sciences.

Towards Sustainable Fisheries: State Space Assessment Models for Complex Fisheries and Biological Data
by Joanna Mills Flemming
Assessments of stock status for commercial species of fish and invertebrates increasingly rely on complex state space models to interpret observed fisheries data collected through time. The results of these assessments are used both to set fishing quotas to attempt to protect stocks from over-exploitation as well as to evaluate the efficacy of rebuilding plans for stocks that have been reduced below sustainable levels. 
The sea scallops fisheries in the Maritimes region of Canada are the largest in the country, and some of the most lucrative. They are a good example of fisheries whose management is based on scientific stock status evaluations, with surveys being conducted by Fisheries and Oceans Canada (DFO) (since the early 1980s). We present preliminary results of a fruitful collaboration between DFO scientists and CANSSI CRT members, to develop an explicit spatio-temporal model for a scallop fishery off the west coast of Nova Scotia. The model will be used to estimate biomass across the region of interest as well as predict it for future years.

McGill Health Statistics Training Network: Preparing Students For Life Beyond Our Walls
by Erica Moodie
This talk will highlight some of the exciting student experiences and initiatives that CANSSI’s Health Science Collaborating Centre has facilitated.

The Forestry CRT
by Doug Woolford
This talk will reflect on the achievements made the by the 2015 – 2018 CANSSI Collaborative Research Team (CRT) Evolving Marked Point Processes with Application to Wildland Fire Regime Modelling (aka the “Forestry CRT”), whose objective was to expand upon existing interdisciplinary research between statistical scientists, other academic researchers, and fire management agency partners in order to advance the scientific understanding of wildland fire regimes.

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