This project focuses on extending Neuraura’s LoOoP neurostimulation platform to address the unmet needs of individuals with endometriosis—a chronic, debilitating condition affecting 1 in 10 individuals with a uterus. While TENS therapy is already used for symptom relief, Neuraura is exploring its potential to influence tissue behavior and possibly slow or reverse lesion growth. To […]

This research project develops an innovative approach to decision-making assistance by leveraging teams of AI-based agents, known as “councils of AIs”. These councils utilize large language models to collaboratively provide strategic advice and support for complex managerial decisions. The project aims to significantly improve the quality and effectiveness of strategic decision-making processes within organizations. The […]

Transcranial magnetic stimulation (TMS) is a safe form of non-invasive brain stimulation that treats different brain conditions. Theta burst stimulation (TBS) is a TMS protocol that alters the underlying neural circuitry and is an FDA and Health Canada approved treatment for Major Depressive Disorder. How cTBS changes brain function remains unknown; however, understanding this mechanism […]

This project will study how male and female executives differ in the adoption of artificial intelligence (AI) technologies. I use the launch of ChatGPT as the big technological event to understand how executives communicate and discuss the adoption to generative AI. I then analyze how these differences affect how investors react in the stock market. […]

We are developing a rapid, low-cost diagnostic device that helps healthcare providers quickly determine whether an infection is bacterial or viral, leading to better treatment decisions and reduced antibiotic misuse. This project will explore real-world demand for the device, evaluate its competitive edge, and refine its market strategy. Through the Lab2Market Validate program, Edmonton Unlimited […]

During the course of this project, the main focus will be on the market research aspect of TraffiCore, a traffic monitoring and control automation startup which aims to provide traffic managers and controllers with a useful tool that can automatically perform the repetitive and mundane tasks that are usually perfomed manually and suboptimally. The intern […]

This project has developed a real-time digital monitoring system that identifies people at risk of sudden cardiac arrest by analyzing their heart signals (ECGs). By combining a machine learning model with cloud-based technology, the system automatically updates each patient’s status and sends alerts if a risk is detected. This enables the partner organization to provide […]

We are developing a conversational AI system that helps hospitals and cancer centers find the right patients for clinical trials much faster and easier. Currently, research staff spend weeks manually reading through hundreds of pages of patient medical records to see if patients qualify for specific cancer treatment studies, which means many patients who could […]

This research-based project aims to make developing virtual reality (VR) applications faster and easier by using generative AI tools. By streamlining the development process, the project can help both companies and individual developers save time and resources. This is especially valuable for Calgary’s growing community of VR businesses and research labs. Overall, the project supports […]

This project will develop a plan to bring a new worker fatigue monitoring system to market. The system uses wearable sensors and artificial intelligence to detect when workers are becoming tired, so that action can be taken to prevent accidents and keep people safe on the job. During this project, market research will be done […]

I intend to commercialize a foundation model for forecasting energy production and consumption time series, addressing challenges like renewable integration, storage optimization, and demand-supply balancing. Resources such as HVACs, EVs, ESSs, and solar roofs introduce uncertainty due to temperature sensitivity, price response, and weather variability, making grid management and the transition to smart grids more […]

This project explores the market opportunity for a next-generation intracranial EEG (iEEG) electrode system that integrates optical and oxygenation sensors to enhance brain monitoring in clinical and research settings. The proposed innovation addresses a critical gap in current neurodiagnostic tools by enabling simultaneous acquisition of electrical activity and hemodynamic signals from the brain. This dual-modality […]