Genetic Correlates of Alzheimer’s Disease Subtypes

Genetic Correlates of Alzheimer’s Disease Subtypes

Cédric Beaulac (top left), Faisal Beg (top right), Farouk Nathoo (bottom)

When Cédric Beaulac begins his CANSSI Distinguished Postdoctoral Fellowship later this year he will be working to better identify an individual’s predisposition to develop Alzheimer’s disease in the future. To do this, Cédric aims to combine existing statistical inference tools with deep learning to create hybrid models and empirical-data-based statistical/deep models in order to learn the individualized and complex interplay between genetic markers, neuroimaging Alzheimer’s disease phenotypes and clinical measures.

About Cédric

After completing his Master’s Degree at L’Université du Québec à Montréal, Cédric Beaulac was awarded the Alexander Graham Bell Canada Graduate Scholarships allowing him to pursue a doctoral degree at the University of Toronto where he worked under the supervision of Professor Jeffrey S. Rosenthal. His research interests lie at the intersection of statistical sciences and machine learning. While working on his thesis, Cédric developed expertise in probabilistic graphical models such as variational autoencoders and state-space models. He studied the theoretical foundation of such models, developed new model architectures and employed them to solve problems in different fields such as survival analysis and image analysis. 

As a recipient of the CANSSI Distinguished Postodoral fellowship, Cédric will now have the opportunity to work under the supervision of Professor Mizra Faisal Beg at Simon Fraser University and Professor Farouk Nathoo at the University of Victoria on this neuroimaging project. 

“This project is the perfect opportunity to further develop a research program in image analysis using techniques emerging from both the statistical sciences community and the machine learning community,” says Cédric. “I’m looking forward to the start of the postdoctoral program.”

About the Supervisors

Farouk Nathoo is a Professor and Tier 2 Canada Research Chair in Biostatistics for Spatial and High-Dimensional Data. His research group works on statistical modelling and computation as well as Bayesian methods for biomedical data with emphasis on spatial and spatiotemporal data with an emphasis on the analysis of imaging data. He has published 43 papers and given over 70 invited talks. Nathoo has served as a member of NSERC’s peer evaluation group for mathematics and statistics. He has co-edited three special issues on the analysis of neuroimaging data and big data analysis and is currently an associate editor for the Canadian Journal of Statistics and a topic editor for Entropy.

Faisal Beg is a Professor in the School of Engineering Science at Simon Fraser University. His research interests include computational anatomy, non-rigid registration of medical images, shape analysis and the statistical atlas of anatomical shapes and parallel computing applications to medical image computing.

CANSSI’s Distinguished Postdoctoral Fellowships

This program provides a comprehensive training experience to prepare postdoctoral fellows for success in a variety of careers. The CANSSI Distinguished Postdoctoral Fellowship will include a substantial research project in statistics or inferential data science, a substantial interdisciplinary or applied collaboration/interaction, teaching experience, broadly defined, equivalent to 1-2 courses total over two years, and opportunities for professional development. This two-year fellowship is supported by a competitive salary.

Learn more about the CANSSI Distinguished Postdoctoral Fellowship.

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