This project will support the development and growth of a customer retention and rewards program for Nature Bee, a Canadian sustainable home-goods company. The internship will focus on analyzing customer purchasing behaviour, identifying retention opportunities, and supporting the expansion of a loyalty and rewards strategy designed to increase repeat purchases and long-term customer value. The […]

Early-life adversity (ELA) is one of the most consistent and robust predictors of poor mental health outcomes across the lifespan. These are developmental periods characterized by high neural plasticity, in which the brain is shaped by experience. Thus, ELA can provoke detrimental, long-lasting changes in the brain and it is critical to understand the mechanisms […]

The advance of sensors can have important impacts to our lives, ranging from developing safer self-driving cars to more precise medical imaging. Quantum properties like entanglement can dramatically improve the sensitivity of sensors. This project will study a new type of quantum sensing that aims to track speed. A new design will be considered that […]

Jimmy Zee’s Distributors Inc. is a Vancouver-based distributor specializing in confectionery and general merchandise that celebrate Canadian culture and identity. The company supplies a broad network of retail partners—from convenience and grocery stores to hardware and tourist outlets offering products that bring joy and pride to consumers across the country. As Jimmy Zee’s continues to […]

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 […]

CLIQMedia is a Vancouver-based digital marketing agency specializing in web design, development, branding, and advertising for clients in construction, real estate, design, and dental industries. As the company continues to scale, it faces an innovation challenge around how to generate deeper, data-driven insights that meaningfully improve campaign outcomes in industries that are rapidly digitizing but […]

This project aims to use artificial intelligence to study how people interact with nature in cities and natural areas around the world. By analyzing millions of social media photos and captions, the research will identify different types of human activities, emotions, and cultural values connected to nature. The project combines computer vision, natural language processing, […]

MOVE IT. YVR is a premium relocation company specializing in high-touch, white-glove moving services for luxury residential clients, developers, and corporate partners. As the organization continues to grow rapidly, its core operational challenge is the need to transition from a traditional, labour-intensive service workflow to a more data-enabled, systematized, and scalable operations model. The company […]

This project aims to develop a new clinical scoring system to help veterinarians and cat owners identify early signs of age-related cognitive decline in domestic cats. The study combines a questionnaire-based measure of behaviour and cognitive function with a full veterinary health check and experimental cognitive assessment tasks to accurately identify subtle changes in behaviour, […]

This project aims to develop new high-performance materials that can operate reliably in extreme environments, such as jet engines, nuclear reactors, and the automotive industry. Many modern technologies rely on piezoelectric and ferroelectric materials, which convert mechanical energy into electrical energy and vice versa. However, most of today’s materials lose performance at high temperatures, limiting […]

Compositionality — the ability to understand new combinations of familiar parts — is a core aspect of human cognition and reasoning, but current vision-language models such as CLIP still struggle with it. These limitations reduce the reliability of systems that must correctly interpret objects, attributes, and relations in real-world scenarios. Although many methods have been […]