This project seeks to advance the discovery of future cancer therapies by comparing healthy cells with abnormal cancer cells. By examining how proteins, the key functional components of cells, change between normal and diseased states, the intern(s) will help identify novel targets that may point to new therapeutic opportunities. The work uses established, quantitative proteomic […]

Premier Lighting is a lighting solutions provider based in Burnaby, BC, specializing in commercial and residential installations, with a commitment to quality, safety, and customer satisfaction. As the company grows, it faces challenges typical of expanding Canadian SMEs: ensuring best practices in workplace safety, modernizing employee hiring and onboarding, and maintaining equitable workplaces through clear […]

The partner organization, Solutions B-CITI Inc. (Bciti+), is a Canadian technology company specializing in smart community platforms that connect citizens, cities, and organizations through a universal digital citizen card and an AI concierge called ATNA. Its mission is to enhance citizen & membership engagement and trust while enabling services & data-driven, transparent decision-making for public […]

During the 4-month internship, postdoctoral fellow Ruby Liu will (1) fabricate fibrous filter plugs from the amine-functionalized chitosan and cellulose materials; (2) characterize their surface charge and adsorption performance toward model anionic surfactants; and (3) perform filtration experiments at Merinov’s facility. The outcomes will provide proof-of-concept for integrating bio-based, renewable nanomaterials into industrial water-treatment systems. […]

Quantum sensing exploits quantum mechanical effects to achieve unparalleled precision in measuring magnetic and electric fields, temperature, and time, enabling transformative applications across healthcare, environmental monitoring, aerospace, secure communications, and next-generation navigation systems. As quantum computing and communication technologies accelerate globally, the development of robust, scalable, and highly sensitive quantum sensors has become a critical […]

CortexCare is a health-technology company focused on developing non-invasive and consumer-ready solutions for sleep improvement and neurological wellness. Their core activities include designing wearable and textile-integrated devices that combine sensors, stimulations, and analytics to support individuals with sleep disorders such as insomnia. The company has previously developed a pillowcase capable of generating low-intensity electromagnetic fields […]

This project aims to make future internet-connected devices secure against quantum computer attacks by developing faster and safer cryptographic software for small embedded systems. We will optimize a newly standardized post-quantum algorithm so that it runs efficiently on widely used ARM Cortex-M7 processors without sacrificing security. The results will help protect critical infrastructure, healthcare systems, […]

This project will help Blü Creative Digital Technologies strengthen and validate the foundation of its secure, closed-loop AI platform used by governments and regulated organizations to manage policies, procurement documents, and institutional knowledge. The internship will focus on organizing large collections of internal documents into a trusted, searchable system that produces accurate, traceable, and permission-based […]

TAUlab is building a fleet and equipment-tracking platform for small and mid-sized construction contractors. These companies often struggle with lost equipment, incomplete job-site reporting, and administrative overload. Although many large enterprise tools exist, they are bloated with features and rarely match how smaller subcontractors actually work day-to-day. Most companies in this segment still rely on […]

This project will explore and test the idea of BEsTech, a platform that helps companies find the right additive manufacturing (3D printing) services, materials, and experts faster and without relying on middle agents. Instead of building full software, the project will study real industry needs, test simple prototypes, and learn how people would use and […]

This project aims to explore whether RepGen, an academic tool that helps software teams automatically reproduce bugs in deep learning and AI systems, can become a useful product for industry. By interviewing more than 100 developers, companies, and technical teams, the project will identify who needs this tool the most, what features they care about, […]

This project aims to develop new machine learning models that can help wind energy companies design wind farms more efficiently and at lower cost. Today, planning a wind farm requires running large, high-resolution computer simulations to understand how wind flows around turbines and how much power a proposed layout can produce. These simulations are accurate […]