Beyond the Basics: Developing an Advanced Platform for Wellbeing Measurement

This project is about understanding and keeping track of personal wellbeing over time. While wellbeing apps have helped people closely monitor various aspects of their lives, there’s still a challenge in effectively using this data for self-improvement. I’ll work with UpBeing to determine the best ways to measure wellbeing and identify factors contributing to improved […]

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Semantic Gait Parameter Extraction from Video Data Using Generative Models

This study addresses the challenge faced by children with severe motor impairments in acquiring proficient powered wheelchair (PW) skills for independent locomotion. Traditional means, such as joysticks, may not be suitable, prompting exploration of brain-computer interface (BCI)-based PWs. However, limited research exists in the pediatric realm due to developing brains and a lack of tailored […]

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Development of soil quality guidelines for use in health risk assessments of contaminated pipeline compressor station sites

Intrinsik has identified a number of key chemical-pathway combinations that are missing environmental quality guidelines but frequently required for evaluating risks at pipeline compressor stations. With support from senior scientific personnel at Intrinsik, the intern will used environmental risk assessments methods to develop risk-based environmental quality guidelines that are relevant to the land use scenario(s) […]

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Broker Factors as Predictors of Mortgage Deal Success

Home Trust is a mid-size bank that provides innovative solutions to its customers. Home Trust provides mortgages for different property purchases including single-family dwellings, condominiums, duplexes, triplexes, store and apartment and rental properties. The process of funding a mortgage involves several interactions between Home Trust, brokers, underwriters, and the customer. We are committed to make […]

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Estimating Optimal Treatment Regimes from Electronic Health Records using Natural Language Processing for Unmeasured Confounding

n precision medicine, optimal dynamic treatment regimes (DTR) are a sequence of decision rules that individualize medical treatments. DTR estimation methods use observational data, such as electronic health records (EHR), which may lack variables that capture doctors’ rationale behind treatment assignment. However, while such variables, also referred as confounders, may not be directly recorded in […]

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Discovery platform for aptamer-based luminescent sensors for protein detection

Diagnostics are critical to our healthcare infrastructure, with substantial impacts on patient care and public health policy. Proteins have been used as diagnostic markers for disease monitoring for nearly 200 years, however, current analytical methods require expensive equipment and expert technicians. This restricts the use of such methods to centralized laboratories where they process samples […]

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The implications of foreshocks on mainshock triggering

Large earthquakes (mainshocks) are sometimes preceded by small-magnitude events called foreshocks. Foreshocks are the only detectable earthquake signals before the mainshock and thus, attract interest in using foreshocks’ properties to predict mainshock. It has been hypothesized a two end-member triggering mechanisms of foreshock, the cascade model and the aseismic slip model but results are often […]

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Social determinants of health and use of diabetes technologies among adults with type 1 diabetes in Quebec

The intern will evaluate disparities in the use of diabetes technologies among individuals from historically marginalized communities in Canada, explore barriers and facilitators to use of diabetes technologies, and identify novel strategies to improve equitable use. The intern will determine associations between marginalization and the use of insulin pumps and CGM, as well as interactions […]

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Blue Dot Application

The main objective of this research project is to contribute to developing a model that can provide robust early warning to changes in influenza cases and help to reduce ILI spread globally. The model, Modified Exponential Growth Algorithm (MEGA), will characterize the early ascending phase of epidemic disease and will be used to detect changes […]

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