During his doctoral work, Louis Jourdan developed the 2D-pUCC (2D-block pair unitary coupled-cluster) ansatz, a novel quantum algorithmic framework that adapts and generalizes the classical Antisymmetric Product of 2D-block Geminals (AP2D-BG) method for quantum computing architectures. The overarching objective of the project is to reduce the measurement cost in variational quantum algorithms for molecular electronic-structure […]

This project at the Centre for Addiction and Mental Health addresses a defined evidence gap in women’s brain health: despite women comprising roughly two-thirds of Alzheimer’s disease cases, there is limited scalable, person-centred data on how specific menopause symptom patterns and menopausal hormone therapy (MHT) exposures relate to cognitive outcomes. In partnership with two major […]

The RBC Patient and Family Learning Space (PFLS) at CAMH provides free mental health, substance use, and recovery information to patients, families, caregivers, and the public. PFLS offers workshops, webinars, easy-to-understand health information, and help with navigating the mental health system. It operates both as a physical space and an online learning hub, working with […]

In commercial insurance, businesses are constantly changing and keeping up is no small task. As their activities grow or evolve, their exposure to risk and insurance needs change. Outdated or incomplete information about the customer can lead to poor customer experience and unfair pricing. While regularly reaching out to clients could help keep their information […]

The project uses large language models (LLMs) and information-theory measures to quantify how people think in real conversations. The goal is to create a pipeline that quantifies informational content (the purpose of the utterance is to provide/inquire information) and relational content (the purpose is to build a stronger relational bond with the other speaker) in […]

The global shift to sustainable energy and climate consciousness as lead to the innovation and development of unique technologies that challenge societal norms. One such technology is electric and hybrid electric aircraft. With the advancement of this transportation type comes the advent of new challenges in energy storage and thermal management. Once such problem is […]

Mixed reality (MR) based visual guidance enables intuitive interaction between the user and the environment and has various applications (e.g., picking tasks, navigation, and surgical support). These applications require highlighting physical objects, and many existing techniques utilize obvious virtual elements such as outlines and arrows. While effective, they significantly increase visual clutter when conveying a […]

With the rise of protectionist policies in the United States, rapid integration of artificial intelligence in business, and demographic pressures from an aging population, Canada finds itself at the intersection of several powerful economic forces. These dynamics blur the distinction between long-run structural change and short-run cyclical fluctuations in macroeconomic data, increasing the risk of […]

This project will evaluate the commercial readiness of EarLIX’s hot-embossed metasurface biosensor platform designed for rapid, low-cost multi-cancer screening using circulating tumor DNA (ctDNA). The intern will conduct structured interviews with healthcare stakeholders, analyze adoption barriers, and refine the business model, pricing strategy, and regulatory pathway. In parallel, the project will assess intellectual property positioning […]

This summer project supports a research exchange between Engineering Science programs at Osaka University and the University of Toronto by creating a shared foundation for future biomedical engineering collaboration. At a high level, the project focuses on how modern engineering can better connect advanced measurement technologies with real medical needs—turning complex biomedical signals into knowledge […]

This research project aims to create a vertical outdoor testbed for small-scale building integrated photovoltaics (BIPV) modules to enable high-resolution performance monitoring.

Perovskite solar cells are a promising new solar technology that could enable cheaper and more efficient renewable energy. However, their performance can vary widely because even small changes during manufacturing can strongly affect how well the devices work. This project uses advanced artificial intelligence techniques, combined with known physical principles, to analyze a large collection […]