Economic model of Ulipristal Acetate in the long term, intermittent treatment of uterine fibroids — a Canadian setting

Health economic evaluation compares the associated costs and the clinical outcomes of multiple treatment alternatives and is presently used by payers as one of the many types of evidence to inform which drugs to fund. Given existing health-care budgetary constraints, payers are increasingly interested in knowing whether a new health technology will provide value (i.e. […]

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Blackbox optimization applied to Design of Experiments

The pharmaceutical industry relies on a process known as batch manufacturing to supply their goods to the public. Each batch takes time to ends, involves many parameters and is very expensive. Quality tests are performed at the end of each batch. The calibration of parameters is a crucial task and Design of Experiment (DoE) is […]

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Evaluation of Machine Learning Methods for Portfolio Replication of VIX Futures

During the past two decades, the CBOE Volatility Index (VIX® Index), a key measure of investor sentiment and 30-day future volatility expectations, has generated much investor attention because of its unique and powerful features. The introduction of VIX futures in 2004, VIX options in 2006, and other volatility-related trading instruments provided traders and investors access […]

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Fraud Detection in Derivatives Market using Deep Unsupervised Anomaly Detection and NLP

In the last few years, a high increase in the interest of traders and investors towards financial instruments directly led to an important augmentation of the information received daily by exchanges. Exchange regulators, who constantly monitor markets to unveil potential infractions, traditionally perform their investigation manually and the notable growth in market activity represents an […]

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Large-scale Inversion of geophysical data

When using geophysical methods to gain insight into the structure of earth, large geophysical data sets are collected. Since the earth is a 3D structure, the data must be interpreted and processed in 3D to be of the most value in the exploration process. This research will develop the capability to invert large gravity, magnetics, […]

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Valorisation des données au service de la gestion énergétique des bâtiments

Le nouveau contexte dans lequel e?voluent les ba?timents du 21e?me sie?cle impose clairement le de?veloppement de nouvelles technologies de l’information et de la communication a? la fine pointe afin de constituer des outils d’aide a? la de?cision pour la gestion efficace d’e?nergie dans les ba?timents. L’intelligence artificielle (IA) joue un rôle important facilitant le traitement […]

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Automatic Model Risk Management

Regulatory bodies, such as the Office of the Superintendent of Financial Institutions (OSFI) require that financial institutions properly assess and manage risk. Regulatory bodies aim to ensure the stability of financial markets, and the economy at large, and they do so by imposing guidelines on a firm’s risk management practices. Risk management models in general, […]

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Zipstall – On-line and Off-line Parking Availability Prediction

Searching for parking has many terrible impacts, such as wasted time, fuel, and emissions, overpaying for parking etc. To ease the pain of parking, the goal of this project is to develop a method of collecting information from multiple sources (crowd-sourced information from parkers, active paid session information from managers/parking enforcement, and availability information from […]

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CONVERGENT CROSS MAPPING FOR DEMAND FORECASTING

The availability of inexspensive electricity in a constant and reliable fashion is critical to economic development and efficient resource consumption. To this end, accurate short term load forecasting (STLF) on an electrical grid enable the minimization of dispatch and running costs on the scale of seconds to a week. Models and approaches employed in STLF […]

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Futures First Algorithmic Derivatives Trading

This internship research project is aimed at using state-of-the-art machine learning and AI techniques to create profitable trading strategies in the derivatives markets. This research is key to the business operations of the partner organization and gives interns invaluable experience and insights to the business.

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Analyse statistique des liens entre blocs de variables de format mixte

CONTEXTE : Nos recherches proposent le développement de méthodologies statistiques et de leurs applications aux données réelles issues de disciplines très différentes. A l’heure actuelle, les scientifiques ont régulièrement accès à des données mesurées sur plusieurs ensembles (blocs) de variables pour le même ensemble d’observations. Cette structure de données est connue sous le nom de […]

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