Rewiring Time in Brain Models: Anatomically-Grounded Delay Distributions for Multiscale Neural Mass Modeling

This international project brings together top neuroscience teams from McGill University (Canada) and Aix-Marseille University (France) to develop the next generation of realistic brain models. The goal is to improve how computer simulations represent the timing of signals traveling through the brain, which depends on factors like axon length, thickness, and myelination. Current models often […]

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3D-Printed Thermoelectric Metamaterials

Thermoelectric materials present a promising solution for sustainable energy generation, offering the potential to complement existing energy systems in everyday applications. However, the performance of conventional thermoelectric materials is largely constrained by the intrinsic properties of their bulk constituents. To overcome these limitations, reducing material weight while enhancing efficiency, adaptability, and multifunctionality is essential. One […]

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Mixed Methods in Indigenous Health Research: Colombia, Canada & the Caribbean

In 2020, there were 19.3 million new cancer cases and 9.9 million related deaths, with 70% occurring in low- and middle-income countries. In Latin America, cancer remains a leading cause of mortality, with cases projected to rise from 4 million in 2020 to 6 million by 2040. Indigenous populations are among the most affected; in […]

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From Lab to Market: The VoltLeaf Leap

This project aims to support VoltLeaf Energy Inc. in exploring market opportunities and building a go-to-market strategy for their carbon-based battery technologies. By researching potential customers, competitors, and industry trends, the project will help VoltLeaf better understand where and how to position their products. The goal is to identify the most promising use cases and […]

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Modeling cardiac fibrosis in a dish with human iPSC-derived fibroblasts

Cardiovascular disease remains a leading cause of death in Canada and is a progressive disease characterized by impaired heart function that can ultimately lead to heart failure, with a rising incidence and a 5-year survival rate of only 50%. Advanced cases of heart failure caused by dilated cardiomyopathy (DCM) are referred for mechanical circulatory support […]

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L2M Validation / Qc Automne 2025 / Ready, Set, Swim: Application of spectrofluorophotometry (FEEM) for better pathogen detection in Quebec’s recreational waters

Municipal beach managers across Canada face an impossible dilemma every summer: close beaches preventively and lose tourism revenue, or risk exposing swimmers to dangerous sewage contamination from aging infrastructure that overflows during heavy rainfall. Current water testing takes 24-48 hours and measures bacteria that poorly indicate actual health risks from viruses, forcing managers to make […]

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Informing the delivery of modern therapies for therapies improving cardiorenal outcomes for patients with type 2 diabetes

Per clinical guidelines, patients with Type 2 diabetes and certain co-morbidities should initiate modern glucose-controlling therapies that also reduce the risk of cardiovascular and renal adverse events, such as GLP-1 RA and SGLT2i medications. But many indicated patients have not initiated these therapies, in part because some primary care doctors are uncomfortable with the complex […]

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Predicting the State of Overhead Line Components for Multiple Hazard Exposures

The research problem is to model the deterioration of conductors and to predict their service life as a function of exposure to humidity, chlorides and SO2. The model will be validated by analyzing 300 sites with data on the residual thickness of zinc. A feature-dependent Markov model will be fitted to estimate the residual life […]

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Development of a Multimodal AI System for Analyzing Canine Behavior and Emotions Using Smart Collar Data and Video Data

This project aims to help humans better understand their dogs by using artificial intelligence. Over four months, interns will develop AI models that can recognize dog behaviors—such as sitting, lying down, or showing signs of pain—by analyzing video, sound, and movement data collected from cameras or wearable devices. The research also includes developing tools to […]

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Dual opportunity and risk of LLM-based language translation in international institutions

In accordance with the Digital Policy Hub research foci on artificial intelligence, as well as digitization, security and democracy, the underlying purpose of the project is to research the limitations of language translation technologies in order to suggest updated policy for international institutions to responsibly use them. This directly supports the Digital Policy Hub’s objective […]

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