Benchmarking the Health Leadership Gap in Canada 2025

This research project aims to understand and improve leadership in Canadian healthcare organizations. Over the next five years, many healthcare leaders are expected to retire, creating a need for new leaders who are well-prepared to handle the challenges of a rapidly changing healthcare system. The project will use surveys and focus groups to gather insights […]

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Decentralized Electric Microgrid Optimization by Reinforcement learning

The goal of this project is to improve the management of electric community microgrids. In contrast to traditional power grids with large centralized power plants that provide energy in a top down fashion to consumers, the introduction of renewable energy such as solar has given rise to bottom-up electric microgrids of prosumers (i.e., consumers that […]

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Technical and business intern(s) working within cross-functional teams to commercialize AI-powered solutions (1)

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. AltaML’s AI Lab […]

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A high throughput mass spectrometry-based screening test for early-stage colon cancer

Colorectal cancer (CRC) is the second most common cancer-related cause of death in Canada. This high mortality rate is largely due to the lack of a cost-effective, patient-accepted and sensitive screening tool. Metabolomic Technologies Inc. (MTI) has developed a nuclear magnetic resonance (NMR)-based urinary diagnostic test for detecting colonic polyps (PolypDx™). Identification of adenomatous polyps […]

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Estimation of Parcel Flows on a Tram-Cargo Network

The GRAME is currently conducting an extensive opportunity study to highlight the potential role of trams in the movement of people and goods within the Greater Montreal Area. Through this project, it has collaborated with Coop Carbone and GoMove to assess the potential for parcel distribution via a possible pan-Montreal tram network. According to modeling, […]

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Familiarization with modeling of dust dispersion in air supported by relative dust concentration mapping with a LiDAR

The intern will familiarize himself with the official dust dispersion model (AERMOD) and the innovative dust mapping technology from the partner organization to combine them in a future project. This combination is expected to provide new capabilities to the industry by providing the visualization of its dust emissions in 3D over large areas. This will […]

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L2M-Autonomous Wildfire Aerial Control Solution

We address the limitations and hazards of current wildfire detection and suppression methods, focusing initially on Alberta’s boreal zone. Alberta Wildfire uses aircraft, helicopters, specialized equipment, and trained personnel, but these methods have critical drawbacks. Crewed aerial systems cannot operate 24/7, leaving gaps when fires can go undetected. Additionally, deploying personnel is expensive and not […]

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L2M – Creditcliq

Creditcliq is a fintech solution designed to help newcomers to the U.S. and Canada access financial products like credit cards, loans, and rentals by sharing their home country credit history with local banks and credit unions.

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Bio-Vault 3: Design and prototyping of a full-scale low-embodied carbon structure using biochar-based composites

Building materials made from bio-based feedstock such as biochar requires less embodied energy and has carbon sequestration capacity. Their use in construction reduces the overall Global Warming Potential (GWP) of building materials, facilitates environmental repair, and reduces climate impacts from environmentally intensive industry sectors such as agriculture and aquaculture. Bio-based composites are typically low in […]

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Rare Disease Detection

This project aims to improve a tool that helps doctors detect rare diseases by making it easier to find important information in patient records. The intern will work on creating a system that uses advanced computer models to organize and retrieve data from electronic medical records (EMR). By doing this, the tool will become more […]

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Impact Assessment of Predictive Capabilities

Comprehensive Healthcare at Home (CHAH Technology) is a Toronto-based health-tech startup leveraging AI to enhance home-based healthcare. The company develops predictive models that monitor patient health, detect early warning signs, and facilitate timely interventions to prevent hospitalizations. The healthcare system in Canada faces growing challenges due to an aging population and high public healthcare costs. […]

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