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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
Social media strategies for retail brand growth – ON-1062

This project focuses on developing and optimizing social media strategies for a retail brand to enhance its online presence, engagement, and sales. With the increasing influence of digital platforms on consumer behaviour, having an effective social media strategy is crucial for brand visibility, customer connection, and revenue growth. The project will explore key aspects such […]

Read More
Effects of Mobile Technologies on Emergency Response

Workplace incidents usually need to be reported and it is important to ensure that they are resolved in a timely manner. To understand the procedures involved in an emergency response to a workplace incident, we have started investigating the existing practices of the McGill University Safety office by interviewing their personnel. We focused our investigation […]

Read More
Conformal prediction, fairness and calibration

The internship focuses on the intersection of mathematics, machine learning, and ethical AI, specifically within the domains of conformal prediction, fairness, and calibration. Conformal prediction is a statistical framework that provides mathematically rigorous confidence measures for machine learning predictions, ensuring that the uncertainty quantification is valid under minimal assumptions. In this project, the goal is […]

Read More
Displacement = Dis(Empowerment)?: Trade Liberalization and Mexico’s Indigenous Migrants

Through semi-structured interviews with current Mexican indigenous migrant men and women and extended family members, my dissertation inquiry focuses on how indigenous peoples – men and women – in Mexico have experienced (and continue to experience) the transition from subsistence to commercial agriculture. The core objective of my doctoral research is to bridge the existing […]

Read More
Automated gated quantum-dot 3D model generation and tuning for technology-computer aided design of realistic spin-qubit systems

Spin qubits—nanoscale quantum bits made in semiconductor materials—are a promising technology for building future quantum computers. They are highly miniaturized, can work at relatively higher temperatures than competing technologies, and can be made using standard industrial semiconductor-chip fabrication techniques, which makes them ideal for scaling up. However, traditional chip design software is not adequate for […]

Read More
Entraîner un adaptateur DiT pour la génération de visuels de mode

Uwear.ai est une startup montréalaise créée en mars 2023, avec pour mission de bâtir le meilleur photographe fashion virtuel. L’objectif du projet est d’ajouter des conditions à la deuxième version de notre adaptateur. Ces conditions nous permettrons de générer des photoshoots sur une personne cible.

Read More
Tabular data extraction for financial disclosure analysis

Material Legal Technologies is a full-stack technology based legal advisory service that seeks to streamline the last mile in narrative public disclosure, in addition to developing various technological tools to alleviate friction in corporate governance. This project aims to elevate our existing ML tooling to state-of-the-art in terms of recent research advancement, specifically helping with […]

Read More