The field of responsible investing is rapidly expanding, with even greater attention on the importance of responsible investment with each passing year, as seen most recently in the aftermath of the impactful 2021 COP26 summit, where responsible investment was key focal point. Directing our financial resources in a sustainable direction has the potential to have […]

In the last 30 years, the theory of optimal transportation (OT) has emerged as a fertile field of inquiry, and a diverse tool for exploring applications within and beyond mathematics, in such diverse fields as economics, meteorology, geometry, fluid mechanics and engineering. More recently, thanks to many applications in finance, economics, quantum chemistry, machine learning […]

Linamar uses sensors and gauges to monitor machine performance in factories across the world. However, the infrastructure to fully exploit such data to improve productivity and performance is currently limited as there is no integrated environment available to uniformly collect, manipulate and analyze the data. The primary objective of this project is to create an […]

The field of responsible investing is rapidly expanding, with even greater attention on the importance of responsible investment in 2021, as seen in the aftermath of the hugely impactful COP26 summit. Directing our financial resources in a sustainable direction has the potential to have a massive impact on helping us meet the Sustainable Development Goals […]

Perhaps the most basic object in the world of representation theory is the symmetric group, the group of all ways of rearranging a set of size n. Despite the simplicity of this object, it is still very rich, and its category of representations is a remarkable mixture of combinatorial accessibility, and exceptionally difficult questions. Famously, […]

The goal of the research project is to enhance ATB’s fraud detection by incorporating new graph based features. Initially, the project will be focused on figuring out how to use ATB’s data to build graph features. Once the data is processed, these additional graph variables will be used to improve the existing fraud detection machine […]

When lava enters the ocean, the molten rock spreads out and solidifies, creating a new shelf of land known as a lava delta. There have been a number of significant examples of such events over the last few years, notably at Kilauea, Hawaii in 2018, and Cumbre Vieja, La Palma in 2021. The physics of […]

Algorithms that learn and sample from probability distributions form an important part of machine learning, AI, and the natural sciences. One needn’t look far to find such algorithms at the bleeding edge of methodology, and in everyday scientific pursuit. The Wang-Landau algorithm is an example. It combines a sampling step with a learning step, to […]

L’Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval (IUCPQ-UL) est responsable du programme de soins et des services spécialisés et surspécialisés dans le traitement des maladies cardiovasculaires, respiratoires et en lien avec l’obésité, Afin d’accomplir cette mission, un ensemble de cliniques internes et externes (ou ambulatoires) sont rassemblées sous un même toit. La […]

In Actuarial Science and insurance, models are often used to assess risk using factors such as age, level of education, gender, environment, etc. In practice, there might be unobserved factors. When data are gathered, the accuracy of these models should be investigated. If the model is not well fitted by the data, subsequent influences could […]

Quantum computers are no longer fantasises of distant future. Recent advances in quantum computing hardware as well quantum algorithms offer a wide variety of possibilities to improve existing classical algorithms. Some of the operations involved in the standard classical algorithms might be performed much more efficiently using quantum machines. The current proposal will explore the […]

The main problem this internship project explores is the selection, conversion, and encoding of mathematical models that pertain to the finance industry for processing on available types of analog optimization processors. This research investigation aims to develop new algorithms and code that take advantage of an analog optimization process which acts as an “oracle” for […]