Recent studies in quantum computing have demonstrated that the localized unitary Jastrow (LUCJ) ansatz, a promising electronic structure method capable of running on near-term quantum hardware, can surpass exact solutions on classical hardware by using quantum-centric supercomputing. However, scalable and efficient methods for initializing the LUCJ ansatz remain underexplored in current research. We propose a […]

Lithium-ion batteries with silicon anodes have garnered significant attention due to their exceptional theoretical specific capacity of approximately 3,590 mAh/g at room temperature—nearly ten times that of conventional graphite anodes (~372 mAh/g). However, the practical application of silicon anodes faces challenges such as significant volume expansion during lithiation, solid-electrolyte interphase (SEI) formation, and capacity fading […]

Through semi-structured interviews with current Mexican indigenous migrant men and women and extended family members, my dissertation inquiry focuses on how indigenous peoples – men and women – in Mexico have experienced (and continue to experience) the transition from subsistence to commercial agriculture. The core objective of my doctoral research is to bridge the existing […]

Dans un contexte hivernale de plus en plus changeant, il devient primordial de se doter de méthodes de détection efficaces. Ce projet vise à développer et valider des méthodes de détection des contaminants dans les produits de dégivrage aéroportuaires afin d’optimiser leur efficacité et réduire leur impact environnemental. En combinant des approches analytiques avancées et […]

This project assesses the safety of blending hydrogen with natural gas in Québec’s pipeline network, which is a crucial step towards Canada’s transition to cleaner energy. During a 13-week research internship, the project will identify safety risks, such as material degradation and explosion hazards, using risk assessment tools like HyRAM+. The anticipated benefits are twofold: […]

This research investigates whether tensor networks can serve as interpretable surrogates for graph neural networks (GNNs). It explores whether tensor networks can approximate the functional behavior of GNNs while offering a more structured and interpretable internal representation. The project aims to quantify the contribution of nodes, edges, and features to predictions through this surrogate representation, […]

Antibiotic resistance is a rising threat worldwide, making infections increasingly hard to treat. This project aims to tackle this urgent issue by mapping out the hidden genetic relationships within harmful bacteria, including Escherichia coli and related pathogens. By analyzing vast amounts of genetic data, we will identify critical points—called genetic hubs—essential for bacterial survival. Targeting […]

Climate change is one of the main concerns of our society and is closely linked to the large consumption of fossil fuels and their associated carbon emissions. An appealing alternative is the production of hydrogen from water, powered by sunlight. Our project aims to develop a first family of efficient hybrid dyadic catalysts for this […]

Mobility-as-a-Service (MaaS) is an emerging service that enables users to plan, reserve, and pay for different on-demand and shared mobility services through an integrated platform. MaaS is relatively more advanced and widespread in European countries than in North America. In parts of Europe, shared mobility services can also be found in mobility hubs (dedicated on-street […]

Ce projet de recherche vise à mieux comprendre comment des orthèses de genou personnalisées peuvent aider les adolescents à prévenir les blessures graves au genou, notamment la rupture du ligament croisé antérieur (LCA). Ces blessures sont fréquentes chez les jeunes sportifs, surtout lorsqu’ils présentent un désalignement du genou appelé “valgus dynamique”. En s’appuyant sur des […]

Cancer leaves behind unique mutation patterns, known as mutational signatures, which provide insights into its origins and potential treatments. Traditionally, these signatures are identified using tumor tissue samples, but obtaining biopsies can be invasive and challenging. A promising alternative is circulating tumor DNA (ctDNA)—small fragments of tumor DNA found in the blood. Liquid biopsies offer […]

This project focuses on developing innovative, biocompatible microrobots for targeted drug delivery, particularly in cancer treatment. By integrating smart hydrogels with magneto-active properties, these tiny robots can navigate the body and deliver highly precise chemotherapy drugs, reducing side effects and improving patient outcomes. Advanced 3D microfabrication techniques, such as two-photon lithography and digital light processing, […]