This project will develop Canada’s nationwide, open-source simulation model to predict both supply and demand for Personal Support Workers (PSWs), addressing a critical workforce shortage as Canada’s older adult population grows rapidly. Health Workforce Canada will create innovative modelling tools that allow healthcare decision-makers to test different policy scenarios and make evidence-based planning decisions for […]

Foreceipt Inc. is a Canadian technology company behind Foreceipt, a cloud-based app that uses AI to help users easily track receipts and manage expenses. With an impressive 4.7-star average rating from over 6,000 reviews on the U.S. Apple App Store, Foreceipt serves individuals, freelancers, and small businesses in English-speaking countries around the world. To support […]

Salflex Polymers Ltd, headquartered in Toronto, Ontario, specializes in manufacturing polymer-based products for diverse industries. Operating under the umbrella of ABC Technologies, a global leader in vertically integrated plastic processing, Salflex Polymers focuses on material development and handling. Their expertise encompasses material compounding, including reinforced polyolefins such as glass-filled polypropylene, thermoplastic elastomers (TPO and TPV), […]

This project involves partnering with a medical device company focused on supporting older adults with heart failure through an innovative self-management software. Key activities include developing comprehensive documentation to support the company’s quality management system, contributing to a usability study to evaluate the software’s real-world impact, and refining the design to ensure it meets both […]

This project aims to develop a robust foundation model designed explicitly for financial time series representation learning. The core of this approach is an autoencoder framework capable of capturing multi-modal relationships in financial data. Once trained, the encoder will be deployed as a general-purpose model for various downstream financial tasks, including predictive analytics and asset […]

This project’s goals include optimizing and documenting the development of zwitterionic hydrogels that will be used as injectable hydrogels to substitute current hyaluronic acid-based viscosupplements to treat osteoarthritis. During this internship, the intern will be able to work on the synthesis, characterization, purification, and packaging of zwitterionic hydrogels and document these protocols by establishing standard […]

To research, develop and innovative upon existing and new image processing & calibration software for an ultra-resolution (up to 100MPx) multi-projection digital display. The solution is to be made to be distributable for embedding into custom in-line FPGA hardware to further enable high-speed parallel processing and eliminate bottlenecks in data communication.

Over six million people living in Canada have arthritis, making it one of the most common chronic conditions. The condition significantly impacts activities of daily living, workplace participation, and it is the leading cause of disability. Living with arthritis leads to pain and physical impairments and people with arthritis can self-identify as living with a […]

Pediatric therapists struggle to obtain accurate grip strength measurements because current tools were originally designed for adults. These tools require excessive hand strength and fail to engage children, leading to unreliable data. As a result, therapists often resort to subjective estimates, making it difficult to track progress, tailor treatment plans, or justify therapy to insurance […]

This project focuses on the development, testing, and validation of next-generation solid lubricant coatings for cutting tools designed for hard-to-cut materials commonly used in aerospace and automotive industries. Traditional machining processes often rely on oil- and water-based lubricants, leading to excessive waste, environmental contamination, and increased operational costs. By introducing advanced solid lubricant coatings, this […]

This project investigates how menopause influences brain function by comparing blood flow in pre- and post-menopausal women. Estrogen plays a crucial role in protecting the vascular system; however, as women transition through menopause and estrogen levels decline, the risk of diseases such as stroke and vascular dementia increases significantly. I will conduct research at Bangor […]

This project aims to characterize and analyze the Community Health Dataset using AI techniques. This dataset, sourced from the Cambridge Community Services Trust, contains electronic health records (EHRs) of 111,317 children and young people aged 0–18 years, covering the period from 2007 to 2021. The significance of this project lies in several key aspects: (1) […]