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 […]

Canada is among the world’s largest producers of energy derived from resource extraction. Canada’s Oil Sands Region produces 70% of Canada’s crude oil, and ranks third, after Saudi Arabia and Venezuela, in terms of proven global crude oil reserves. In order for Canadian industry to continue to meet this high demand for energy they must […]

Many women face large hurdles when looking for a bra that is fitting, supporting, and comfortable. This is especially true for women with oversized breasts or who have undergone mastectomy. In additional to emotional distress and poor self-esteem, the lack of fitting and supporting bra may lead to back and chest pain, and negatively impact […]

Prescribers rely on guidelines for appropriate use and prescribing of opioids. Currently, there are no risk prediction calculators available to quantify the risk of prescribing an opioid that uses a patient’s history and drug utilization pattern. Machine learning algorithms offer an opportunity to perhaps develop such a risk calculator as a result of the large […]

This project aims to identify an efficient fermentation strategy that will enable Cvictus to generate a protein-rich animal feed using methanol as the nutrient source. The key advantage of the production platform proposed by Cvictus is the use of a proprietary technology that can convert coal to methanol with ultra-low CO2 emissions. Initial research in […]

Nutraceuticals are being used ubiquitously, but seldom undergo rigorous testing. This study is focused on two primary aspects of studying natural health products, specific cannabis and its oils. The first objective is to determine the shelf life (product stability) by performing a series of tests to accelerate the ageing process in order to provide an […]

The mining industry is one of the leading sectors of the Yukon economy. Mining companies are committed to restoring the land affected by mining activities to meet closure plan requirements. Revegetation of impacted sites is a challenge all mining companies face in sub-arctic regions because: 1- Lack of knowledge regarding which plants to use for […]

The proposed project investigates the extraction of geo-location information from online map services to augment the available attributes of real-estate properties, thereby enhancing model valuation of property sales price. Specifically, five distinct and concurrent objectives are proposed, each undertaken by a separate intern, to explore the feasibility of utilizing different data types retrieved from online […]

In general, the goal of project is to investigate the train travel data and figure out the main factors affecting train travel time. Moreover, we will use machine learning algorithms to predict their arrival time to stations and forecast when delays will happen. Specifically, to figure out what factors are affecting train travel times, we […]

The proposed project aims to improve the prediction of mineral resources for better decision making throughout a mining project, that is, to decide whether to reject or to process extracted material using machine learning algorithms. This will help maximize profit for mining companies while minimizing environmental impact as the correct material will be processed more […]

This project seeks to build on existing research regarding the current challenges in social innovation work in Alberta, as articulated in Alberta Social Innovation (ABSI) Connect’s 2016 Report on the Future of Social Innovation. To accomplish this, the intern will interview people in Edmonton who are from multiple marginalized identities (e.g. racialized, identifying as a […]

Apelin, an innate peptide, is a critical component of the apelin pathway, which is responsible for regulatory mechanisms of the cardiovascular system. Apelin is downregulated in patients with cardiovascular disease, therefore limiting the cardioprotective potential of the pathway. This project focuses on the optimization of a biological analog, able to withstand enzyme degradation with improved […]