A Bayesian pharmacokinetics integrated phase I–II design to optimize dose-schedule regimes for multi-level multi-graded outcomes

Cancer treatment requires a precise understanding of how drugs work at different doses and schedules. This research project aims to develop an advanced method for designing clinical trials for early-stage cancer beyond traditional approaches. The project will create a sophisticated statistical framework that simultaneously evaluates drug toxicity and effectiveness across multiple complexity levels while incorporating […]

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Adaptation d’une modélisation statistique de l’érosion de cavitation à un autre type de turbine hydraulique et intégration d’un modèle physique

L’une des stratégies mise en oeuvre par Hydro-Québec pour accompagner la demande croissante d’électricité, consiste à caractériser les phénomènes contribuant à la dégradation des turbines hydrauliques. Dans cette optique, le phénomène de cavitation est étudié, car il est à l’origine de l’érosion et donc de l’endommagement des turbines. Ce phénomène correspond au passage de l’eau […]

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Vertex Functions and Twisted Trace of K-theoretic Coulomb branches

This project explores the relationship between twisted traces on K-theoretic Coulomb branches, vertex functions of quasi-maps, and vertex operator algebra characters. Twisted traces provide a framework to understand quantum algebras and their symmetries, with potential applications in representation theory, mathematical physics, and geometry. The project aims to establish new connections between these areas, benefiting participating […]

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Biais asymptotique de l’apprentissage par gradient stochastique dans un modèle de diffusion pour le risque et la ruine en assurances.

Ce stage vise à porter un regard nouveau sur la modélisation du processus de réserve en assurance et gestion de risque financier en proposant une approche probabiliste basée sur les théories des équations différentielles stochastiques et le gradient stochastique. Ce cadre a été appliqué avec succès à de nombreux domaines de la modélisation mathématique. Notre […]

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Personalization algorithms for behavioural inclusion in trading strategies

This project is to further Finliti’s proprietary behavioral science-backed trading algorithms by creating and analyzing data models. This will also provide the basis for quantifying the value proposition of specialized financial advice and education at scale for the wealth management landscape in Canada to direct Finliti’s growth and competitive advantage in the market place. Finliti […]

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Optimizing Banknote Distribution to Reduce GHG Emissions at the Bank of Canada

One of the main responsibilities of the Bank of Canada (BoC) is to ensure that sufficient inventories of each currency denomination are maintained nationwide. To achieve this, the BoC operates 39 regional distribution centers (RDCs), each with a specified limit on the total currency value it can hold without incurring penalties. Local banks interact with […]

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An integrative approach to white-tailed deer management in Nova Scotia: Policy review and implementation

The objective of the proposed research is to develop a statistical analysis framework that provides a reliable profile of Nova Scotia’s white-tailed deer population based on deer related data sources. This project is to support improvements to deer management in Nova Scotia. Improved management and conservation of Nova Scotia’s most important big game species supports […]

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Modèle de mélange avec noyaux pour la classification des données de grande dimension

Les données qu’on rencontre aujourd’hui sont souvent de grande dimension. Avec les données génétiques, les signaux et les images, des méthodes d’analyse qui tiennent compte de la taille des données est plus que jamais nécessaire. Chez Hydro-Québec, une nouvelle méthode de surveillance des équipements électriques a été développée, qui fait appel à la théorie de […]

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TensorNetwork MLIPs

Molecular dynamics simulations predict how individual atoms in a protein or material (or many other systems) evolve over time, allowing the detailed in silico study of atomistic processes. The most important input into those simulations is the force field, which specifies the interaction between individual atoms. For many technologically important processes such as electro-catalysis, or […]

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Developing diffusion models for wind downscaling

This research project aims to develop a ready-to-use model for predicting detailed wind patterns at wind farms to help the industry better plan turbine placements and forecast energy output. Wind speed data is usually available at a large, low-detail scale, which makes it hard to predict specific site conditions accurately. Generating high-resolution wind data using […]

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Integration of Inflation Signal in Picton Mahoney’s Asset Allocation Models

Picton Mahoney Asset Management (“PMAM”) was founded in 2004 to provide unique investment solutions to institutional, retail and high net worth investors in Canada and around the world. The Multi-Strategy Team at PMAM uses economic cycle models to determine asset allocation preferences across time during different macroeconomic regimes. We have recently incorporated an additional inflation […]

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