FendrAI: Building an AI-Driven Risk Assurance Engine with Insights

Enterprise organizations are increasingly facing significant financial risks caused by hidden vendor overspend, billing errors, and non-compliance with contractual agreements. Traditional enterprise resource planning (ERP) systems often lack the intelligence and automation necessary to detect such discrepancies in real time. As a result, many organizations approve payments without properly validating invoice accuracy, leading to revenue […]

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DC3: Viral Menace

1) S-Qubed Entertainment (SQE) was established to share stories in all three facets of entertainment – video games, books, and visual media. SQE values research and data-driven improvements to create projects that reflect the tastes of our contemporary audience. We strive to address the lack of diversity by crafting worlds that explore untold narratives. 2) […]

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Quantum Machine Learning for Time Series Anomaly Detection

This project explores the potential of quantum machine learning (QML) algorithms for time series anomaly detection (TAD), a crucial task in areas such as healthcare, finance, and cloud systems. While classical approaches have achieved notable success, challenges remain in capturing complex temporal dependencies, modeling high-dimensional correlations, and ensuring timely detection of anomalies. By leveraging QML-based […]

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Towards a cure for NARS disease

Pathogenic alleles in human asparaginyl-tRNA synthetase (NARS1) cause heterogeneous genetic disorders collectively known as NARS1 diseases. NARS1 disease is an early onset disease, and few children reach adulthood. No NARS1 specific therapies are available, and treatments remain supportive. The molecular and cellular consequences of most pathogenic NARS1 alleles remain unknown. We will investigate NARS1 mutations […]

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Strain Selection and Fermentation Optimization for Food-Grade Fungal Proteins

This project supports BioWise Technologies Inc. in advancing the development of sustainable, food-grade fungal proteins through controlled microbial fermentation. The intern will screen and evaluate a library of fungal strains based on protein content and amino acid composition to identify high-performing candidates. Selected strains will undergo purification and genetic characterization, followed by optimization of growth […]

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Data-driven Decision Making to Balance Environmental and Economic Impacts of City Growth

The building sector represents Canada’s third-largest source of greenhouse gas emissions and is one of the most difficult sectors to decarbonize. Policymakers must reduce emissions while also addressing Canada’s severe housing affordability crisis. Without effective tools to find solutions that tackle both issues together, there’s a risk that neither may be resolved successfully. This project […]

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Transforming Drug Discovery and Regenerative Medicine with EVOP: A Platform for Precision, Efficiency, and Insight

The primary challenge addressed by 3GO is the predictability gap in preclinical drug testing. Traditional models often fail to replicate full-organ function, leading to high failure rates during clinical trials. This shortcoming has been emphasized in the drug discovery landscape as a limiting factor in accelerating therapy development. Internal consultations with Dr. Rogers’ lab and […]

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Talent CRM

This project aims to build a comprehensive Talent Customer Relationship Management (CRM) system, a business intelligence tool designed for organizations to track and optimize talent progression through data-driven insights. The system will synthesize user profiles, market data, and engagement metrics from our AI coach, recruiter, and mentor agents to deliver actionable insights for career development […]

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Autonomous Code Refactoring and SQL Optimization with an Agentic AI-Powered Editor

This project will develop an advanced AI-powered code editor that can automatically improve and optimize large software projects. Unlike current tools that only help with small code suggestions, this system will be able to review entire codebases, fix problems, and make them easier to maintain. It will also improve the speed and efficiency of database […]

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Investigating Protein Turnover in Athletes During Low Energy Availability

Low energy availability (LEA) is a major challenge facing both sport and public health and occurs when there is a mismatch between dietary energy intake and exercise energy expenditure, leaving inadequate energy to support physiological processes. Chronic or severe LEA can negatively affect health, including adverse effects on skeletal muscle metabolism. Athletes are especially susceptible […]

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