At the Krembil Centre for Neuroinformatics, we work in an open, team science environment—with an emphasis on reproducible and accessible results.
Our centre is designed to foster collaboration, spark conversations and drive convergence.
Our team employs machine learning, artificial intelligence and computational modeling to integrate and analyze data across scales, including genomics, proteomics, electrophysiology, brain imaging, mobile and wearables, demographics, and environmental data. Teams collaboratively conduct multi-scale modelling studies to bridge the various levels of structure and function in the brain—from genes to circuits to behaviour, including wakefulness and sleep.
Our values
Open Science
We lead the open dissemination of findable, accessible, inter-operable and reusable (FAIR) data, creating reproducible computational workflows and open computational models.
Team Science
We create agile, multidisciplinary teams and collaborate on large-scale integrative projects.
Global Collaboration
We collaborate with scientists worldwide on data gathering, standardization and sharing.
Education and Training
We develop unique educational resources and training for the next generation of scientists.
Ethics
We assess and address potential bias, equity or ethics issues in the context of data-driven mental health.
Privacy
We commit to privacy-by-design in our data platforms and operations.
Innovation
We demonstrate being an agile incubator of mental health technologies.
Our Scientific Staff
Meet the scientists working in the Krembil Centre for Neuroinformatics
The Independent Scientist for Artificial Intelligence will build and lead a team responsible for developing machine learning techniques that contribute to data-driven definitions of mental health and brain disorders, identifying outcome predictors and optimal intervention opportunities. The Krembil AI Team will integrate machine learning, predictive models and decision support into CAMH, and work in close collaboration with clinical and research scientists on early identification of mental health issues and improving care, clinical outcomes and patient engagement. The successful candidate will be considered for an appointment as a Vector Faculty Member on a part-time basis for an indefinite duration.
The Independent Scientist for Brain and Health Knowledge Management will build and lead a team responsible for organizing and disseminating data, models and literature related to the definition and treatment of mental health disorders to support both researchers and clinicians. This team will maintain and curate ontologies of brain disorders and link to data, analyses, visualizations, literature and models supporting their definition. This clinical support platform will support reasoning and inference across definitions and datasets to bridge psychiatric and neurological disorders.
The Data Steward and Visualization will support the the BrainHealth Databank (BHDB) and research studies by provisioning data cuts and developing interactive dashboards used for clinical decision support, operations, and data exploration. The person selected for this position will work collaboratively with clinic and research stakeholders and closely with the Knowledge Engineering / Data Engineering team to ensure the effective management of data assets, data lineage and data access, including the consistent application of data models and provenance tracking, data quality and data accuracy across all group delivery initiatives.
The Krembil Centre for Neuroinformatics is looking to hire a Post-Doctoral Fellow with a strong background in Neuroimaging and Software Engineering. The successful candidate shall spearhead the group's efforts in developing a comprehensive open science platform that captures a range of experimental data, produces a semantic representation that links related scientific content, and provides users with data discovery tools.
For inquiries about applying, please contact David Rotenberg, Operations Director for the Krembil Centre for Neuroinformatics.
