Machine learning (ML) is transforming industries like IT, finance, and healthcare, but the code that powers these systems is still mostly written and updated by hand. This project explores how Large Language Models (LLMs) can assist developers by predicting and suggesting code edits for ML projects. By analyzing real-world code from public repositories, the research […]

This project aims to develop advanced machine learning models to analyze arterial blood pressure (ABP) waveforms from patients in intensive care units (ICUs). By using a large dataset and cutting-edge techniques like transformer architectures and contrastive learning, the goal is to create models that can accurately predict patient outcomes, such as ICU mortality and hospital […]

This project aims to enhance the safety, precision, and efficiency of robotic surgical assistants — collaborative robots designed to work alongside surgeons — by developing a computer vision-based system that prevents collisions in real time. Using cameras and advanced image processing techniques, the system will monitor the operating room, detecting people and other obstacles. It […]

Breast cancer is a global health challenge, affecting millions of women annually. In 2020, it was the most common cancer in 109 countries, including Canada. Breast-conserving surgery (BCS), or lumpectomy, is the standard of care for early-stage breast cancer. The goal of BCS is to remove malignant tissue while preserving healthy tissue but achieving tumor-free […]

(1) The Desjardins Quantitative Strategies department manages a set of internally developed systematic investment strategies. There are two main products; global equity strategies (developed and emerging countries), as well as alternative strategies using futures on global stock indices, resources, interest rates and currencies. The team owns a proprietary technology platform that has been developed over […]

This project aims to develop and evaluate an advanced augmented reality (AR) and artificial intelligence (AI)-based system designed to enhance conversational fluency for intermediate-to-advanced language learners. By integrating language practice into everyday environments, the system will offer immersive and interactive learning experiences without reliance on traditional classroom instruction or physical conversation partners. Existing literature indicates […]

Outport Reviews develops an affordable review management platform for Canadian SMBs that filters negative feedback before public posting. This project will validate market fit, optimize acquisition channels, and build strategic partnerships to strengthen Canadian businesses’ digital presence and competitiveness.

The increasing adoption of blockchain technology, particularly in decentralized finance (DeFi), highlights the critical need for automated and efficient auditing tools for smart contracts and transaction monitoring. Traditional manual auditing methods are slow, labor-intensive, and insufficient to manage the growing complexity of smart contracts. By integrating AI-based techniques, this project aims to develop automated tools […]

This project focuses on improving transformer-based models for quantitative finance (QFin) by addressing key limitations such as inadequate long-term memory, lack of sentiment analysis, and difficulties in handling multimodal data. While transformers have achieved breakthroughs in fields like protein folding and natural language processing, their application in finance still faces challenges. Existing financial transformers struggle […]

A common symptom of Parkinson’s Disease is freezing of gait (FoG), which entails that patients freeze while walking and cannot continue to walk. A way to stop the FoG is to prove some sort of external stimulus (cueing). This project entails the creation of a device to detect FoG (based on previous devices) and provide […]

Renal cell carcinoma (RCC) is a common and aggressive form of kidney cancer, often diagnosed at advanced stages due to the lack of early symptoms. This project aims to improve RCC diagnosis by identifying metabolic biomarkers through a multiomics approach, integrating metabolomics and transcriptomics data. Using advanced mass spectrometry (LC-MS) and computational tools like CAT […]

Neurodegenerative diseases like Alzheimer’s and Parkinson’s cause cognitive decline, motor impairment, and emotional distress. While pharmacological treatments exist, music therapy has shown promise in alleviating symptoms. This project enhances music therapy using AI, making interventions more accessible and personalized. This project aim to develop an AI-powered wearable system that personalizes music therapy based on emotional […]