Empirical evaluation of theorized drivers shaping ecosystem stability and functioning

Ecosystems provide services such as fisheries, pollination, and carbon storage that support people and economies around the world. The stability and functioning of ecosystems is shaped by several key factors, such as biodiversity, species interactions, response diversity and environmental conditions, as identified through ecological theory. However, few studies have tested these ideas in real-world ecosystems, […]

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Mapping Safety Motivation at Work: Untangling the network of causes and consequences

A workplace injury can harm livelihoods and the mental health of employees, yet despite decades of safety interventions, work injuries remain a critical issue in Canada. This raises a critical question: What motivates people to be safe at work? Safety motivation—an individual’s willingness to engage in safe behaviors—is a key predictor of safety performance, making […]

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L2M – IUAide by ReFem Technologies

ReFem Technologies is developing IUAide, a new medical device that makes intrauterine device (IUD) insertion safer, faster, and less painful. The current procedure uses outdated tools that cause discomfort and inefficiency for both patients and clinicians. IUAide combines gentle stabilization, local anesthesia, and real-time placement feedback into one easy-to-use device. Through this project, ReFem will […]

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Beyond Reciprocity: Reimagining Ethical Global Health Promotion in Resource-Constrained School Systems

This project explores how international teaching programs between Canadian universities and Antiguan schools can be designed in ways that are fair, respectful, and beneficial for everyone involved. The research focuses on the Antigua Champions for Health (ACH) program, where Canadian student-teachers work with Antiguan schools to support health and physical education. By listening to both […]

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L2M Validate / Qc Winter 2026 / Grow Guard

The integration of machine learning models and the extraction of meaningful data into industrial workflows continues to accelerate, driving innovation and new business opportunities. Leveraging our expertise in mathematical and statistical modeling, we aim to apply these technologies to address critical challenges in agriculture, where up to 40% of crop yields are lost due to […]

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On-Prem / Sovereign AI Coding Assistant for Privacy-Constrained Tasks

This project will create a privacy-preserving AI coding assistant that runs directly on a user’s computer instead of relying on cloud services. Many organizations, such as governments and healthcare providers, cannot use cloud-based AI tools because of data security and confidentiality concerns. The system will automatically detect the user’s hardware (CPU, GPU, memory) and select […]

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Towards Explainable and Privacy-Preserving LLM Frameworks for Personalized Healthcare

This project will design, prototype, and evaluate an explainable, human-in-the-loop Large Language Model (LLM) system to enhance patient engagement and personalization in healthcare while ensuring transparency, privacy, and equity. Building on recent findings that current LLM-based healthcare tools lack robust real-world evaluation and interpretability, the research will develop explainability modules, privacy-preserving techniques, and rigorous evaluation […]

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Language, Equity, and Education: Investigating Multilingual Inclusion in Canadian Schools

The project will investigate how language practices in multilingual and multicultural schools influence students’ learning experiences and educational opportunities. It aims to identify challenges faced by students from diverse linguistic backgrounds and explore strategies that promote inclusion and equity in education. By collecting and analyzing data on classroom language use, the project seeks to provide […]

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Standing in Judicial Review: Comparative Perspectives from Canada and the UK

Standing requires every claimant to establish a connection between his situation and the basis of the lawsuit which justifies his participation in the legal proceedings. It is often characterized as context sensitive, particularly in administrative law, given the diversity of decisions likely to be subject to judicial review of administrative action. The objective of my […]

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Uteroplacental vascular transformation in hypertensive pregnancy

Healthy pregnancies require major changes in blood flow to support the growing baby. Specifically, the mother’s uterine arteries must widen to allow more blood to reach the placenta, and the placenta must build a complex network of blood vessels to deliver oxygen and nutrients to the fetus. In hypertensive disorders of pregnancy (HDP), these changes […]

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Biophysical analysis of ABCG sterol transporters

Our research concerns a group of lipid trafficking proteins, scientifically known as ABC transporters, that only work when submerged in the sea of lipids, which we call membranes. These proteins can “pick up” lipid molecules, especially sterols, and move the lipids out or into the cells. We know that different members of these lipid trafficking […]

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Optimization of gene editing tools into human organoid models

Organoids are powerful cellular models that can advance our understanding of human biology and disease progression. They can be generated from human patient samples and be used to screen the best treatment course for patients, thereby allowing for a personalized therapeutic approach. However, a major challenge facing the organoid field is the lack of standard, […]

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