About the Role
We are currently seeking a talented postdoctoral research fellow to join the Whole Person Modeling group in the new, state-of-the-art Krembil Centre for Neuroinformatics at CAMH. The position is fully affiliated with the University of Toronto and under the supervision of Dr. Daniel Felsky (www.felskylab.com).
The successful applicant will develop and apply cutting edge computational and statistical approaches to multi-modal analyses of large, population-level datasets. Our goal is to develop and apply new methodologies to integrate data types using machine learning (including multi-scale genomic, neuroimaging, fluid biomarker, socio-demographic, environmental, cognitive, and clinical information) which facilitate A) the discovery of fundamental mechanisms of mental illness across the lifespan and B) the development precision tools to assist in medical decision making.
Some current research activities include: gene x environment interactions in late-life cognitive decline, stratified polygenic modeling of human traits, prediction of treatment response in major depressive disorder, and network-based integration and visualization of multi-‘omic data types.
Requirements
About the Company