In this project a molecular diagnostic test, named RNA Disruption Assay (RDA) will be developed. RDA measures an individual patient’s tumor response to chemotherapy and accurately predicts whether the drug regimen will lead to the elimination of the disease after the completion of the treatment. RDA is a measure of RNA structural integrity and is […]

The industry partner, Metafor is developing a new class of IT system management solution. As part of this project, Metafor is building a product feature that monitors computer and network activities and looks for signs of anomalies. This is an important problem as anomalies are usually associated with abnormal user or system behaviors that can […]

For banks and financial institutions data is one of the most important assets, providing the key to true differentiation and competitive advantage. Insight Business Intelligence, solutions offered by Banking Software Company Temenos, turn figures into meaningful information for business decision making. However the existing business rules based models could be improved by using novel statistical […]

Fleetmetrica is a new business startup that offers an innovative and patent-pending technology called SafetyMonitor for monitoring and controlling fleet safety of large commercial vehicles.  Fleetmetrica has achieved success with initial fleets, including improved driver habits using their product and are interested in formally quantifying the effectiveness of their technology.  Fleetmetrica is also interested in […]

Thickness and surface roughness are the two main veneer quality criteria affecting material recovery, plywood glue bond quality, and glue consumption. At present, on-line green veneer thickness and surface roughness are generally not measured, which causes difficulty in assessing overall veneer quality for a better control of log conditioning and veneer peeling process. In this […]

The purpose of this project is to develop three predictive models for Temenos’ Customer Intelligence offering including: (1) Customer Attrition; (2) Loyalty Scoring; and, (3) Next Best Offer. Customer attrition, also called “churn”, or “defection”, is a major business issue for organizations to address. It is crucial to maintain and grow customer relationships in order […]

DBRS CMBS team plans to implement a new product called “CMBS iReport”. The product will provide users with a complement of market and property specific data in a highly interactive and accessible interface. The project will involve collect CMBS market data and identify the key factors (demographic factors, macro-economic factors, and loan specific data) that […]

Prostate cancer is the most common cancer in men. Radical prostatectomy (RP) is a common treatment for this cancer, and after surgery, patients are still considered at risk. It’s important to accurately identify high risk patients after RP in order to reduce risk through further treatments. The genomic classifier (GC) DecipherTM, a product of GenomeDx […]

Sun Life Financial is carrying out its ERM and ORSA analysis. The company seeks to develop sophisticated and mathematically sound internal models that would serve as company's own risk measurement tools for EC evaluations, provide continuing insights into the appropriate risk management routes, as well as be a benchmark against the RC required by the […]

In order to properly manage the risks associated with trading complex financial products, CIBC carries out computationally expensive calculations to properly assess their exposure to various market factors. To make these computations more feasible, it is of interest to find new, efficient and approximate mathematical formulas to compute such exposures. It is also important to […]

The aim of the project is to predict future customer demand for repeat-buying items based on available customer purchase records. However, the purchase history for a single customer may not be sufficient to base predictions on. Also, some purchase records might be missing due to sales events at competitors’ locations. Thus, treating each customer as […]

Cellphones get notifications from different companies every day, but we do not know whether these notifications have a significant impact on customers’ behaviour. Knowing the impact of these notifications would provide useful insights to marketing strategists. Since user behaviour will determine the efficacy of push notifications, this project initially aims to build a behavioural model, […]