Jiaru Ni Internship

Project 1 StrokeSENS™ is a software as a service business aimed at providing physicians with an acute stroke decision aid tool, that will leverage artificial intelligence (AI), advanced image-processing, and network connectivity to support physicians and other healthcare team members to simplify stroke care, with a focus on enabling front line stroke centers. Circle NVI’s […]

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Combining Microfluidics with Molecular Computing for Automated Bio-analysis

Our bodies respond to disease and pathogens by changing the expression levels of many different genes. These changes are currently only measurable using expensive instruments and analyzed using complex software, both of which are often unavailable at low-resource and remote settings. The goal of this project is to establish a novel technology for measuring these […]

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Desjardins-Rotman : Misrepresentation in ratemaking variables

When building predictive ratemaking models in Property & Casualty insurance, the quality of the models and the adequacy of the premiums we charge to clients are dependent on the quality of the data used when building those models. In certain cases, we know that some variables have the potential of being misrepresented in our data, […]

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Long-term impact of sustainable cementing materials on the corrosion durability of reinforced structures

Production of ordinary Portland cement (OPC) contributes to 8% global CO2 emission. There is now increased effort to find alternative materials that are sustainable, readily available, and cheap. Several supplementary cementitious materials (SCM) from natural resources and waste product have been used to partially replace OPC and have shown beneficial effect. New efforts by Carbon […]

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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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