We are pleased to announce the official launch of the Canadian Statistical Sciences Institute (CANSSI) Quebec Regional Node at Concordia University.
CANSSI Quebec’s goal is to work hand-in-hand with CANSSI to promote statistical and data science research and training, concentrated in the Quebec region. It aims at strengthening and increasing connections with other disciplines that use statistical methodologies and highlights CANSSI as a hub for statistical and data science activities across Canada.
CANSSI is a national not-for-profit with a mission to advance research, collaboration and training in the statistical sciences by forging collaborations with scientists and scholars in academia, government and industry, and with major funding from the Natural Sciences and Engineering Research Council.
Yogen Chaubey, Professor of Mathematics and Statistics at Concordia University will be CANSSI Quebec’s Regional Director. “I feel honoured to be chosen to serve as the Regional Director for CANSSI Québec,” Yogen says. “I hope to draw on ample resources and the immense statistical expertise and leadership present at several area institutions and research centres in and around Montreal in fulfilling the objectives of CANSSI.”
Concordia University is connected to Quebec’s statistics community through its link with the Centre de recherches mathématiques Labs (Probability, Statistics, Quantact and MILA ). CANSSI Quebec’s partnership with Concordia is strengthened by Concordia’s commitment to provide logistical support and resources to the Regional Director in supporting CANSSI’s vision of being a catalyst for discovery and innovation in the statistical and data sciences.
There is already exciting CANSSI collaborations in Quebec such as the Montreal Health Statistics Center, which works to serve as the hub connecting statistics students and faculty members with health researchers, to continue to develop and expand upon existing multidisciplinary collaborations between our network members with health organizations, and to train Statistics students in methodologies relevant for health research.
Quebec is also home to the McGill Health Statistics Training Network, a CANSSI collaboration that offers MSc and PhD training with opportunities for experiential learning through their partners: the Canadian Network for Observational Drug Effect Studies (CNODES), the Institut national de santé publique du Québec (INSPQ), the Respiratory Epidemiology and Clinical Research Unit (RECRU) at the McGill University Health Centre, and the Ludmer Centre for Neuroinformatics and Mental Health.
There are also exciting Collaborative Research Team (CRT) projects that include team leaders from Quebec. These include:
- Copula Dependence Modeling: Theory and Applications
- Statistical Inference for Complex Surveys with Missing Observations
- Statistical Analysis of Large Administrative Health Databases: Emerging Challenges and Strategies
We are excited about this next phase in CANSSI’s evolution and look forward to your continued support.
More about Yogen Chaubey:
Yogen is an elected member of International Statistical Institute since 2005 and is a member of Provost’s Circle at Concordia University. He was honored with “Life Achievement Award” for his contributions to Statistical Theory and Practice at the Silver Jubilee International Conference on Interdisciplinary Mathematics, Statistics and Computational Techniques of Forum for Interdisciplinary Mathematics in association with Manipal University, Jaipur, India, during December 22-24, 2016. He has given several invited talks at international scholarly conferences, including one at the recent 2017 World Statistics Congress held in Morocco. His current area of research is focused on non-parametric functional estimation that is funded by a discovery grant from Natural Sciences and Research Council of Canada.