Dynamic Credit Scoring

Banks use a myriad of methodologies to inform their officers on credit extension decisions. One of the most employed approach is to summarize borrower creditworthiness by credit scores, which in turn depend on loan default probabilities. The probability of default depends both on borrower characteristic and on the overall state of the economy. The goal […]

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Forecasting Ability of Non-consumer Scorecards and their Ability to Predict Probability of Default

International Financial Reporting Standards (IFRS) for loss allowances are changing, and financial institutions are proactively adapting existing methodologies and developing new ones to remain compliant. The main ingredient in the myriad of evaluations that banks are required to perform for compliance is risk assessment. The first goal of this research project is to review best […]

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Employing Raman Spectroscopy for monitoring a vaccine manufacturing process

Vaccine antigen production is a process that entails numerous variables. In order to have a consistent and robust process, monitoring of process parameters and controlling output variables within a certain range is the best practice. To accomplish this objective, analytical tools are used, on-line, off-line, at line. Real time monitoring of the processes is advantageous […]

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The real world of environmental pollutants: New approaches to identifying priority contaminants in the Endangered Southern Resident Killer Whale food web

The Southern Resident Killer Whales (SRKW, Orcinus orca) population is assessed at 73 individuals, and significant threats include high levels of endocrine disrupting contaminants, alongside other anthropogenic threats. Studies have painted a partial picture of the contaminants of concern in the SRKW food web. For example, preliminary studies of chinook salmon suggest that some resident […]

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Machine learning in the operating room: focus, performance, and the medical record

This proposed study will significantly enhance our current understanding of how specific intra-operative factors can impact patient outcomes. Our proposed work will provide a proof of concept that machine learning can objectively predict a specific, high-impact post-operative complication, allowing us to move forward with scaling this work to a wide variety of surgical settings. Moreover, […]

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Separating Syntax and Semantics for Semantic Parsing

Study of language disorders, theoretical linguistics, and neuroscience suggests language competence involves two interacting systems, typically dubbed syntax and semantics. However few state-of-the-art deep-learning approaches for natural language processing explicitly model two different systems of representation. While achieving impressive performance on linguistic tasks, they commonly fail to generalize systematically. For example, unlike humans, learning a […]

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Machine Learning-Assisted History Matching for Light and Tight Oil Reservoirs

The use of ionic liquids (ILs) in enhanced oil recovery is considered a new and promising technology as it has never been tested in any pilot plant or reservoir field. ILs are very similar to surfactants as they help reduce the interfacial tension, change the wettability of the reservoir, and some have strong viscous effect, […]

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Safe and Effective Enclosure for Electric Baseboard Heaters

Vent & Cover wants to develop in conjunction with UBC and UWO, an enclosure that can slip over electric baseboard heaters and create a safe-to-touch exterior while still allowing the heater to heat the room safely and effectively. The project will have 2 major components, the first of which is to develop an efficient thermal […]

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Her Own Boss! Entrepreneurial Opportunities for Newcomer Visible Minority Women

This community-based action research project seeks to support visible minority newcomer women in establishing and succeeding in entrepreneurship activities, while identifying the challenges and opportunities they face while trying to start their own businesses. The benefits that this research is expected to bring to the Women’s Economic Council are to better understand visible minority newcomer […]

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Performative Construction: Configuring a Computer-controlled Robotic Manufacturing Setting for Composite Wood Buildings

This research project will explore and devise a digital simulation platform for architects with which custom-designed buildings can be manufactured by robotics from composite wood paneling systems. In a practice-based approach, the intern will develop a simulation tool for a unique manufacturing setting by linking and modifying computer software. The digital platform supports architects in […]

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