Decoding the Developmental Gene Regulatory Mechanisms of Schizophrenia and Bipolar Disorder Using Genetics and Single-Cell Epigenomics Data

This research project will explore how certain genetic differences may increase the risk of developing mental health conditions like schizophrenia and bipolar disorder. These conditions often begin in the teenage years or early adulthood, but researchers believe that early brain development, before and after birth, plays a key role. The intern will use powerful computer […]

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Plasma Proteomic Profiling of Severe Traumatic Brain Injury In Pediatric Patients

Severe traumatic brain injury (sTBI) is a leading cause of mortality and disability in pediatric populations. Surviving patients often face long-lasting neurological deficits exacerbated by primary and secondary injury, necessitating further advancements in prognosis and understanding of sTBI mechanisms. Our project aims to address this issue by identifying differentially expressed proteins present in pediatric sTBI […]

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Digital-Twin Enhancement of Bruce Power Unit 7- Development of Digital Asset Library

This project will extend Bruce Power’s Unit 7 Digital Twin by developing a library of 3D digital assets comprised of digital models of nuclear plant components, each containing metadata referencing applicable technical specification data. Aligned with the CFI College Fund award that supports XR-enabled maintenance training, student interns, spanning computer science, web technology, nuclear engineering, […]

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Enhancing public participation and lived experience in City of Toronto advisory bodies

Advisory bodies are one of the many ways Toronto City Council and City staff receive input from the public and organizations to address priorities and inform decision-making, policy development and service delivery. This project will assess current approaches to advisory bodies in Toronto and other Canadian municipalities and, through jurisdictional research and participant interviews, identify […]

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Knowledge Graph based AI development

Knowledge graphs are a means of structuring semantic knowledge that can be used to increase AI reliability. In our applications, Large Language Model (LLM) chatbots are not on their own able to meet 100% accuracy goals for our scenarios, and we use the knowledge graph to reflectively validate answers before presenting them to the user. […]

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Horloge et pilulier connectés Idem : implantation et évaluation des bénéfices en contexte de soutien à domicile des personnes aînées

Ce projet vise à implanter une technologie combinant une horloge intelligente et un pilulier connecté et à en évaluer l’impact sur l’autonomie des personnes aînées recevant des soins à domicile. Cette solution, conçue au Québec par la compagnie Eugeria, facilite la prise de médicaments en offrant des rappels visuels et auditifs tout en permettant aux […]

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Retracer la trajectoire organisationnelle de l’alliance Transition en commun

Ce projet de recherche propose une analyse de la trajectoire de Transition en Commun (TeC), une alliance intersectorielle montréalaise qui concentre ses efforts à la transition socio-écologique. En tant qu’initiative urbaine qui mobilise un large éventail d’acteurs TeC constitue un espace privilégié pour mieux comprendre les modalités d’émergence, de structuration et d’engagement des collectifs dans […]

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Application of Novel DNA vectors in CNS gene and cell therapy

This project will test how well different DNA-based therapies work in the brain and body using a mouse model. Mice will receive either a high or low dose of the therapy, and their response will be tracked through imaging, blood tests, and tissue analysis. The goal is to measure how much of the DNA reaches […]

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Projet Synergique – Intégration d’une équipe de soutien intégré en parasports

Les athlètes en fauteuil roulant qui pratiquent des sports comme le basketball, le tennis, le rugby ou l’athlétisme ont besoin d’un soutien spécialisé pour atteindre leur plein potentiel. Actuellement, chaque équipe fonctionne de façon isolée, ce qui limite les échanges d’expertise et rend difficile un accès équitable à des services de qualité. Ce projet vise […]

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Myotis lucifugus and Myotis yumanensis mixed maternity roost monitoring methods

This project seeks to develop a non-invasive method, which does not require direct wildlife capture and handling, for monitoring the endangered little brown myotis and a co-occurring species, Yuma myotis, at shared summer maternity roost sites in western North America. A method is urgently needed so that potential species-specific impacts to these two bats from […]

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