L2M – Low-Pressure-Drop Air Filtration for High-Volume HVAC Systems

Wildfire smoke and airborne pollutants are an increasing threat to indoor air quality, yet existing filtration systems struggle to balance efficiency, energy use, and proper airflow in large-scale applications. This venture is developing a novel air filtration system that integrates directly into building air handling units to deliver superior particulate removal without high pressure drop […]

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L2M – Subsurface Energy Storage Software

This four-month business strategy internship will focus on developing the commercialization plan for a new startup founded at the University of Alberta. The intern will take the company’s proven software, a ‘digital twin’ that helps energy companies safely manage their underground storage assets and prevent multi-million-dollar failures, and conduct the necessary market research to build […]

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L2M – Validating Philosoph-AI’s AI Governance-as-a-Service (AI-GaaS) Platform

Project Overview – L2M – Validating Philosoph-AI’s AI Governance-as-a-Service (AI-GaaS) Platform / (Mitacs BSI 2026) Philosoph-AI Consulting Inc., based in Calgary and Geneva, is an emerging advisory firm specializing in artificial intelligence (AI) governance, ethics, and regulatory alignment. This project, led by Sandrine Berezowski (PhD candidate, University of Alberta) under the academic supervision of Dre. […]

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Technical Business Intern working within cross functional teams to commercialize AI-powered solutions in the Public Services Sector

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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L2M – Vision-Based Upper-Limb Assistive Devices

Upper-limb assistive devices remain hard to use because control often feels unnatural and tiring, which leads to abandonment. The intern’s M.Sc. project proposes a non-invasive, vision-based control layer that links what the user looks at to objects in the real-world 3D environment and predicts natural hand paths and joint actions. This approach is intended to […]

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L2M –An energy efficient technology for enhancing indoor air quality

This project focuses on commercializing a novel heat-based air disinfection technology. It aims to validate market needs, assess customer segments, and develop a viable business model to bring an energy-efficient purification solution to market, improving public health and making air disinfection affordable.

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Machine Learning developer intern working within cross-functional teams to develop and commercialize AI-powered solutions in the Public Services sector – AltaML

The project comprises internships in a variety of technical and business roles within our organization and within our GovLab program. Within the organization, roles include associate machine learning developer, business development associate, communications associate and finance associate. Within GovLab specifically, roles include associate machine learning developer, associate business solutions consultant, and project delivery associate. The […]

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L2M – AI Chat Agent for Proposal Generation and Knowledge Reuse

This project is creating a smart chat assistant that uses Artificial Intelligence (AI) to help construction and engineering companies write accurate proposals, like bids for major jobs. The assistant is trained on the company’s successful past proposals, making it a secure, private expert. When a team uploads a new Request for Proposal (RFP), the assistant […]

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L2M-Commercialization of a Multiscale Computational Modeling Platform for Cellular Organelles and Membrane-Protein Systems

This project aims to commercialize a computational biotechnology platform that simulates the structure and dynamics of cellular organelles, such as the endoplasmic reticulum, at multiple scales. These systems play key roles in many cellular processes, and their malfunction is linked to diseases such as Alzheimer’s, ALS, and cancer. While experimental methods provide valuable insights, they […]

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L2M – Robotic Venipuncture System for Automated Blood Collection

Venipuncture is a widely performed yet error-prone medical procedure, posing risks to both patients and healthcare workers due to reliance on visual inspection and palpation for vein access. High rates of needlestick injuries, repeated insertion attempts, and challenges with difficult patient populations highlight the need for safer, more reliable solutions, especially amid workforce shortages and […]

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L2M – AI-Powered Microwave-Based Biosensor for Clot Formation Assessment

This project aims to develop an innovative biosensor that can continuously and non-invasively monitor clot formation in whole blood or plasma in real time. By combining microwave-based sensing technology with artificial intelligence, the system provides accurate, real-time information on coagulation dynamics without the need for complex laboratory instruments. The technology will help healthcare and biomedical […]

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Scalable Quantum Computing – Part B

Ruken Family Office Corporation is an investment firm specializing in data-driven strategies, risk modeling, and computational finance. As financial markets become increasingly reliant on high-performance computing, emerging technologies like quantum computing have the potential to reshape computational methodologies. However, the scalability and practical viability of quantum computing remain uncertain. This project aims to identify which […]

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