We seek to replace or enhance the traditional underwriting approach (namely identification of insureds via a pre-defined fixed set of risk criteria) with one based on a set of dynamic protocols that are responsive to human behavioral factors for continual health improvement. We seek to provide a live and interactive in-market research dataset that can […]

COPD is a progressive inflammatory airway disease characterized by persistent and progressive airway inflammation. It is a major cause of global morbidity and mortality and is predicted to become the third leading cause of death by 2020. Biomarkers may be useful for diagnosing disease considering that the usually used lung function measures have poor correlation […]

The rapid development in the areas of statistics and machine learning demonstrate unprecedented performance in making cognitive business decisions. Quartic.ai aims to use state-of-the-art machine learning technology to help manufacturers assess and maintain the quality of their industrial units, which suffer damage due to continuous usage and normal wear and tear. Such damage needs to […]

Artificial Intelligence (AI) has attracted significant attention in both industry and academia recently. On one hand, people are feeling excited about seeing the breakthroughs that AI has made. On the other hand, they are also worried that these advanced AI technologies will only be mastered by a very small number of organizations in the future. […]

The objective of the project is to design a model determining capital requirements associated with property and casualty insurance business lines for an insurer that is compliant with the new IFRS 17 framework (international accounting framework). Several subcomponents of the model will be developed such as a dynamic model embedding dependence for the evolution of […]

Machine learning techniques have been applied to the financial industry for some time. They have allowed large utilities and generators to better forecast their needs, and the prices they will pay, leading to a generally more efficient grid. However, very little research has been done that could benefit power marketers, who do not have a […]

Ultimement, suite au développement de modèles micro-économique de gestion intégrée des risques avec l’entreprise, l’objectif visé est d’intégrer à ces modèles les différents biais comportementaux et erreurs cognitives entretenus par les milléniaux au Québec via les résultats provenant de la littérature et les résultats empiriques de mon travail de maîtrise. La finalité est donc l’intégration […]

I am working on graph Recolouring in reflexive digraphs and the host supervisor is working on Locally Injective Homomorphisms and k-Frugal Coloring. I and the host supervisor will work on graph graph Recolouring in Locally Injective Homomorphisms and k-Frugal colourings so our objectives is calculating complexity of graph recolouring in Locally Injective Homomorphisms and k-Frugal […]

The project involves identifying changes in mineralization during the drilling of the blast holes. During drilling, an experienced driller is able, to a certain extent, to detect signals that indicate that a zone change is occurring: vibration in the cabin, rotation rate, etc. The aim of this research project is to use data collected by […]

Afin d’optimiser son processus et de tirer profit du cumul des connaissances accumulées dans les compagnies, le projet porte sur la mise en oeuvre et l’extension d’un dispositif d’interprétation des KPI générés dans le but de réduire l’implication humaine et de fournir aux experts un outil pour les guider dans l’analyse des causes dans le […]

This project will assist Sun Life Financial to build, implement and validate quantitatively sophisticated state-of-the-art models of its risk portfolio. This will result in a better quantitative and qualitative understanding of company’s risk, liability and capital profile, and thus in more effective risk management decision making process.

Cryptocurrency markets exhibit highly chaotic behaviour, differing substantially from securities. This research project looks at the cryptocurrency markets for data–aiming to answer if it possible to create mathematical models which track the overall behaviour of the Cryptocurrency Market, while minimizing risks. Through this research we expect to reconcile the theory developed above with the real […]