Modelling pollutant removal processes for an underground detention chamber system

This project will determine if underground detention systems provide an equivalent level of service for stormwater treatment as stormwater management ponds. This will be achieved through water quality measurements collected from a StormTrap system and through the development of a pollutant-transfer model. The intern will work with both the Toronto Region Conservation Authority and Con […]

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Unobtrusive Monitoring of Heart Failure and its Effect on Ballistocardiograph

It is important that heart failure patients monitor their condition at home. We are exploring devices that can improve the self-monitoring required of patients and send this information back to their doctors. A technology that we are testing is ballistocardiography (BCG). BCG is a mechanical vibration generated by your heart and is recorded using a […]

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Generative AI Enhanced Financial and Risk Analytics – Part 1

In this research project, we plan to explore potential uses of generative AI models, such as ChatGPT, to enhance financial modeling. Trusting financial advice from Generative Pre-Trained Transformer (GPT) models is a challenge due to model “hallucinations”, necessitating careful verification and validation of the output. Therefore, we plan to take an alternative approach. We would […]

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Implementation of Data Generated from Competitive Analysis into Investor Presentation

With increased scrutiny of early stage investment for biotech start-ups linked to economics downturn from its peak in 2020-2021, targeted investor engagement is key for a successful financing round. Despite possessing highly derisked and innovative technology, data presentation must be refined in a highly digestable manner to attract interest from notable investors and potential strategic […]

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Review of best practices in measuring, monitoring, evaluating and reporting (MER) of climate resilience as relevant to the City of Toronto

Urban areas will be some of the most complex and important sites of resilience planning in the 21st century. Despite notable efforts, best practices for how local and municipal governments set goals and track progress toward resilience have yet to be established or widely agreed upon. The City of Toronto seeks input into the development […]

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Machine Learning Associate Program || Collaborative Project with Knowd and Vector Institute

Knowd is an organization that provides codified building blocks for knowledge capture, discovery, and organization within the enterprises using retrieval-based language models. With a focus on the application of large language models (LLMs) for diverse knowledge-intensive tasks such as question answering, summarization, and reasoning. The company seeks to train and fine-tune LMs and retriever models […]

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Economic Development through Sustainable Forest Management at Haliburton Forest and Wildlife Reserve, Ontario, Canada

Master of Forest Conservation Candidates from the Faculty of Forestry at the University of Toronto will partake in the research and development of biochar in Haliburton Forest and Wildlife Reserve Ltd. Studies will provide a greater basis for certification and standardization of the product for use in forest systems and operations in Haliburton Forest, as […]

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Efficient Data Representation for Wildfire Predictions

Wildfires continue to pose severe threats to ecological systems, communities, and economies worldwide. Early and accurate prediction of wildfire occurrences is crucial for effective preparedness and response strategies. This study investigates the application of machine learning methods to predict global wildfire events, utilizing the SeasFire Cubes dataset — a scientific datacube designed explicitly for seasonal […]

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