Development of a Scalable, AI-Enabled Internal Operations and Reconciliation Platform for Fintech Systems

This project focuses on building a scalable internal operations platform for MyBeacon to replace its current Retool-based system and support growing transaction volumes and product complexity. The platform will automate reconciliation, provide real-time visibility into transaction states, and introduce configurable workflows that reduce reliance on engineering teams. It will also implement stronger operational controls, such […]

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Integrating Users’ Perspectives in Paratransit Planning

Paratransit refers to a specialized, door-to-door, shared-ride public transportation service designed for those who experience functional barriers to conventional fixed-route transit due to disability. Paratransit plays an important role in fostering social and economic inclusion of people with disabilities, which includes a growing cohort of older adults. Indeed, as Canada’s population ages, demand for paratransit […]

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Snowb^rd: A Programming Language for Teaching

In 1982, Holt and Cordy created Turing, a programming language for teaching at the University of Toronto. It followed best software design practices and had a huge impact on the quality of learning. At STaBL Foundation, we believe it is time to design a new programming language for teaching—Snowb^rd(TM)—to bring the leading edge of programming […]

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L2M – The design and fabrication of inert meso- and micro-porous PEEK membranes

This project aims to advance the commercial launch of a new type of high-performance filtration membrane, made from a durable and reusable material called PEEK, for use in biopharmaceutical manufacturing. Building on prior market validation efforts, the focus of this phase is to finalize a target market, define a launch-ready product offering, and develop a […]

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SyNOF, symbolic regression for reduced density matrix functionals

This project will develop a computational framework that uses machine learning to automatically discover mathematical formulas for describing the electron arrangements of molecules. The electronic structure problem is of great interest in quantum chemistry, where cost-effective methods that capture electron correlation are essential for industrial and technological applications. Current machine learning methods often act as […]

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High-throughput Synthesis of Cu-based Electrocatalysts for Carbon Dioxide Reduction using Multimodal Robotic Platforms

Efficient and low-cost electrocatalysts are crucial for numerous industrial clean energy applications. However, the traditional catalyst discovery framework is constrained by the lengthy duration required for synthesizing and testing one single catalyst, as well as the human error introduced that compromises experimental repeatability. This project will redefine the catalyst development pattern by employing a streamlined, […]

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Agentic AI Frameworks for Multi-Domain Intelligent Assistants

This project aims to help ALS improve how employees access and use information by creating an advanced AI assistant that can understand questions, search internal documents, and provide accurate answers across HR, training, and technical departments. ALS manages large amounts of complex material—such as lab procedures, policies, and technical reports—which can be difficult and time-consuming […]

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Investigating Protein Turnover in Athletes During Low Energy Availability

Low energy availability (LEA) is a major challenge facing both sport and public health and occurs when there is a mismatch between dietary energy intake and exercise energy expenditure, leaving inadequate energy to support physiological processes. Chronic or severe LEA can negatively affect health, including adverse effects on skeletal muscle metabolism. Athletes are especially susceptible […]

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A Feasibility Study Examining the Efficacy of Sensory Strategies Education (SENSE) for Treating Posttraumatic Stress Injuries in Public Safety Personnel

Public safety personnel (PSP) (e.g., firefighters, police officers, paramedics)—face a higher risk of developing posttraumatic stress injuries (PTSIs) due to repeated exposure to traumatic events in their work. These injuries can seriously affect daily life, making it harder to maintain relationships, employment productivity, financial security, and overall well-being. A common challenge for people with PTSIs […]

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Innovative Approaches in Addiction Recovery Research: Exploring Symptom Networks and Missing Data

Substance use disorders, like alcohol and cannabis disorder, affect millions of Canadians, harming their physical, mental, and social wellbeing. Many people with substance use disorders also struggle with mental health issues like depression, making recovery more challenging. Traditionally, mental health disorders like substance use disorder are thought to directly cause their associated symptoms, but new […]

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