The challenge to be addressed in this project is to develop a next generation of machine-learning-guided data validation and annotation tools that take account of differences in human judgment and decision-making processes.

This project introduces a novel, commercially promising ocular implant for the treatment of degenerative retinal diseases, initially targeting age-related macular degeneration (AMD) as a leading cause of vision loss. Current treatments for AMD require frequent intravitreal injections due to the rapid clearance of therapeutics from the eye. This frequent need for injections can cause significant […]

Re:Pair Genomics is a Canadian biotechnology startup pioneering the use of advanced artificial intelligence to accelerate gene therapy development. The company specializes in designing compact synthetic promoters, customized DNA sequences that precisely control where and when therapeutic genes are expressed in the body. These promoters are engineered to target specific human or mouse cell types […]

Tick-borne diseases, including Lyme disease and Anaplasmosis, are an increasing public health concern in Canada, with rising case numbers driven by climate change and expanding tick populations. Current testing methods are limited as they typically detect only one pathogen at a time and often miss early-stage infections. As a result, many Canadians can go undiagnosed […]

This research would offer a new, policy-oriented comparative analysis of international digital literacy strategies aiming to lessen the digital divide. Unlike much of the existing literature, this research would place the focus on initiatives made to further develop digital literacy, rather than digital infrastructure rollout. This research would build on Chetty’s (2018) findings about the […]

This project will focus on helping to bring the DialySnake, which is a novel medical device, closer to market. The DialySnake is a low-cost, minimally invasive tool designed to unclog blocked peritoneal dialysis (PD) catheters at patients’ bedsides in an average of 5 minutes. Currently, when peritoneal dialysis catheters become blocked, hospitals often rely on […]

Contemporary machine learning has been very successfully applied to processing static images and words in consumer applications, resulting in billions of dollars in recent acquisitions of machine learning companies by Microsoft, Amazon, Facebook, and Google. However, applications to dynamic information (e.g. movies, controlling robotics) has been less well-developed. In this project, will develop and apply […]

The successful integration of tailings deposits into existing landforms requires knowledge on how much they will compress and release water under load over time. Typically this is characterized using laboratory based methods, but these tests on small samples cannot capture the behaviour of a full scale deposit. This project will develops a method to use […]

The GeneSight (GS) Psychotropic Test (AssureRx Health, Inc.) measures individual variations in drug-related genes and recommends optimal drug choices for individual patients. A clinical study will be conducted to validate novel gene markers of antipsychotic-induced weight gain for use in an enhanced version of GS. Sarah Groleau will be responsible for genotyping DNA from 600 […]

These two internships (one English, one French) will contribute to an academic partnership with People for Education in order to develop a pan-Canadian survey of educational resources and opportunitiesl. The survey will fill a gap in comparable, interprovincial data on the connection between school context and educational resources / policy implementation at the school level, […]

The GeneSight (GS) Psychotropic Test (AssureRx Health, Inc.) measures individual variations in drug-related genes and recommends optimal drug choices for individual patients. A clinical study will be conducted to validate novel gene markers of antipsychotic-induced weight gain for use in an enhanced version of GS. Sarah Groleau will be responsible for genotyping DNA from 600 […]

FetoSafe is an AI-powered startup designed to predict whether small-molecule drugs can cross the placental barrier and reach the fetus. This remains a major challenge in maternal healthcare, as most medications lack reliable data on fetal exposure. FetoSafe uses only the SMILES representation of a compound, capturing its chemical structure, to estimate the risk of […]