Latent Representations of Loan Delinquencies from Neural Networks for Decisioning Customers and Assessing Phone Call Strategies

During the previous Mitacs PhD internship (IT11500), a long short-term memory encoder-decoder (LSTM-ED) neural network survival model was developed to predict time to debt repayment for ATB collections customers. This model is novel from both methodological and practical perspectives. The LSTM-ED simultaneously predicts the probability that debt will be repaid within the first 90 days […]

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Development of in-vitro models to investigate the intestinal lymphatic uptake of drugs

We aim to improve drug delivery by addressing a lack of accurate models predicting how drugs reach the body’s lymphatic system. Our innovative in-vitro models focus on understanding how drugs travel through the intestinal lymphatics. Using chylomicrons, lipid-based vesicles, our models simulate the journey of drugs from the intestines to the bloodstream. This success of […]

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Building Mindset and Partnerships for Innovation in Canada: Business Strategy Internships with the Cansbridge Fellowship

This project enables interns to enable Market Innovation in Canada, related to their field of study or industry of interest. This will contribute significantly to the Cansbridge Fellowship’s mission of empowering entrepreneurially-minded students and promoting innovation in Canada. Under the guidance of the academic supervisor, the intern will focus on identifying innovative organizations for potential […]

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Large Language Model (LLM): Mobile tools for Social Media Dynamics Creation

In today’s social media landscape, users are constantly creating a variety of content, from texts and images to videos. However, producing high-quality material often requires expertise and resources that many don’t have. This is where our collaboration with PetoLab, an innovative social media app for pet enthusiasts, comes into play. We’re on a mission to […]

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Education Technology Developer

Botree, a future-thinking learning and development company, is taking a significant step forward by introducing an AI-powered application to revolutionize instructional design. This project aims to update traditional training models, making them more effective for the digital-first workforce. By incorporating advanced learning theories and leveraging AI, Botree’s new application will transform research and existing content […]

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Tree responses to drought in the context of climate change

Extensive ecosystem changes are expected to be driven by decreasing water availability in the western boreal forest. Warming of 2° C since the 1950’s has already been linked to water stress and declining tree growth in some regions and species. Tree rings are a valuable tool for tracking changes in forest growth over time, but […]

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Camrose Urban Forest Project

Urban forests are one key to building a resilient city as urban trees provide numerous benefits to city residents including environmental, social and economic. This project includes two key components. The first is for the intern to help complete the City of Camrose street-tree inventory, while the second is for the intern to contribute toward […]

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Miniaturized Carbon Nitride-Based Electrochemiluminescence Assays for Detection of Cardiac Biomarkers

Acute myocardial infarction (AMI) is a life-threatening medical condition, and it remains the primary reason for premature death (persons aged 25–64) worldwide. Therefore, early screening of cardiac biomarkers is critically important for improving survival chances. The existing methods for detecting cardiac biomarkers are multi-step approaches and require laboratory tests, which have higher test times, are […]

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Machine Learning Developer interns working within cross-functional teams to develop and commercialize AI-powered solutions in the Financial Services sector (1)

AltaML’s primary activities involve collaborating with traditional sectors to identify productivity and process challenges that can be addressed through applied AI. The previous cohort of interns worked on a marketing content generation use case, but for the upcoming term, students will be tasked with working on a chatbot for the Human Resource (HR) department, aiming […]

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Creating resilience in mining management systems to reduce Serious Incidents and Fatalities (SIFs)

Total recordable injury rates (TRIRs) have declined significantly over the past thirty years, yet serious injuries and fatalities (SIFs) have not. With the Alberta Mine Safety Association (AMSA) and member companies, we will summarize and evaluate the leading indicators for SIFs, use subject matter experts and integrative AIML to develop and assess SIF predictive measures, […]

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The effect of low intensity pulsed ultrasound (LIPUS) daily therapy duration on the rate of orthodontic tooth movement.

Low intensity pulsed ultrasound (LIPUS) therapy when used in conjunction with clear aligner orthodontic treatment has been shown in clinical studies literature to accelerate orthodontic tooth movement, reduce orthodontically induced tooth root resorption, and shorten the overall duration of orthodontic treatment. In-market use of LIPUS technology as an adjunct the clear aligners has grown significantly […]

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