Study of biological effects of synthetic and natural micro- fibers on marine mussel to inform apparel industry action

Global production and subsequent waste of plastic products, like those in synthetic clothing, has been growing at an exponential rate over the last several decades. Researchers have found polyester microfibers of textile origin throughout the ocean, including the deep ocean and pristine waters of the Arctic Ocean. However, we do not yet know the specific […]

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The use of virtual reality in the treatment of perinatal mood disorders

My project aims to complement the Toi, Moi, Bébé (TMB) program with a Virtual Reality (VR) system. The TMB program aims to prevent perinatal mood disorders, including depression and anxiety, by reducing experiential avoidance and improving self-soothing capacities, which are ideal targets for a VR system. Different applications will be developed for each component of […]

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Exploring ways to reach students in rural Francophone communities

The Gaia Project (“TGP”) is a New Brunswick-based charitable non-profit with the mission to empower youth to take action on climate change through education. For over 10 years, TGP has been providing in-class support to teachers across New Brunswick and the unceded territory of the Wabanaki peoples by delivering hands-on experiences that ignite student curiosity, […]

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Scalable Team-Based Learning – Structure Editor, GUI Editor and Teacher Dashboard

Parents, teachers, administrators, and senior governments all recognize the importance of K-12 Computer Science (CS) education in preparing tomorrow’s citizens for both future job opportunities and social issues caused by information technology. For example, Ontario’s 2020 math curriculum adds both coding and Social-Emotional Learning (SEL). McMaster Start Coding (http://outreach.mcmaster.ca) is one outreach program who has […]

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Prédiction des bactéries hôtes de phages grâce à l’analyse des profils de méthylation de génomes bactériens et viraux par apprentissage automatique.

L’objectif général du projet est le développement d’outils de prédiction des bactéries hôtes des phages par apprentissage automatique. Le premier objectif consistera à développer un prédicteur reposant sur les profils de méthylation dans les séquences métagénomiques bactériennes et virales, grâce à des réseaux de neurones avec des mécanismes d’attention, et des prédicteurs de similarité basés […]

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Russian Nuclear Threats: Deterrence or Blackmail

The research project aims to study the way international laws and politics govern the reaction to nuclear threats in the ongoing Russia-Ukraine War. This study aims to investigate the legal and political frameworks in place to deal with the nuclear danger in Ukraine, including international agreements such as the Nuclear Non-Proliferation Treaty or the Treaty […]

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Classification of Lane changing behavior from trajectory data using self-supervised learning method

This project seeks to develop a system to accurately identify car-following (CF) and lane-changing (LC) behaviors using trajectory data from the pNEUMA dataset, an urban trajectory dataset collected from drones. Previous methods relied on fixed thresholding or manual labeling to separate the phases of a vehicle’s trajectory (CF or LC), which can be time-consuming and […]

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Ontario Provincial Police School Resource Officer Program Review

The study aims to address the call for police reform and removal of police officers from schools by examining the Ontario Provincial Police (OPP) School Resource Officer Program and its interactions with youth. The research seeks to explore whether police officers should be present in schools, and if so, to what degree, in what circumstances, […]

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Using a novel sequencing method to explore signatures of viral mutation

Viruses can jump hosts and develop resistance due to genetic changes caused by mutations. Currently we have a limited understanding of viral mutations as traditional genetic sequencing technology can only extract certain mutations (those that occur at high frequency). Duplex seq is a sequencing technology able to detect rare mutations due to its very low […]

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