Developing A Drug-Protein Interactome for Identifying Potential Drug Targets In-situ

Our method reveals the interaction landscape of a given drug. We will generate a two-part biosensor inside living cells. The first part involves a genetically encoded reactive ‘beacon’. The second part is the drug of interest, synthetically modified with complementary reactivity to the beacon. When present together in cells, both parts chemically combine to form […]

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Machine Learning-Enhanced Anomaly Detection and Performance Optimization for Enterprise WiFi Networks

solutions for large-scale WiFi deployments where the performance of the network changes dynamically. The industry partner has an enterprise WiFi solution that collects Key Performance Indicators (KPIs), logs and WiFi configuration parameters in the cloud. There is an immediate need for automation platforms that can use these data to detect anomalies such as sudden performance […]

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AI-Powered Dispute Settlement

The objective of this project is to develop an algorithmic system, trained on both public legal data and proprietary negotiation data, that will provide tailored predictions of likely court-based dispute resolution outcomes and optimal settlements. In the proposed sub-project, a team of interns (JD students) will be modelling and labelling dispute-resolution data on complaints against […]

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A new tool for managing introduced Phragmites australis in Ontario: assessing invasion impacts and implementing biological control – Year two

Introduced Phragmites australis (common reed) is one of the most invasive plants in North America. Existing management is costly, can negatively affect other species, and is often only effective for small infestations. Classical biological control (i.e., introducing herbivores from the weed’s native range) is a promising tool for P. australis management that can contribute to […]

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Assessment of metabarcoding eDNA as a strategy for risk evaluation and biomonitoring at disturbed environmental sites in Canada

Industry and environmental consultants are increasingly using environmental DNA (eDNA) metabarcoding approaches to complement traditional environmental risk assessments. However, the application of these technologies to field locations where sampling is limited due to access to secure sites, or remote locations where the environment is very heterogenous, poses challenges to acquiring representative eDNA samples. Furthermore, the […]

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Effective Forest Management in Areas Impacted by Emerald Ash Borer

Emerald ash borer (EAB) is an invasive insect from Asia that was detected in Ontario in 2002 and has caused severe declines in ash trees. EAB is able to kill a healthy ash tree in 3-4 years and has caused declines of up to 99% in some areas 8-10 years after arriving. Although there is […]

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Porosity Development in the karstic Silurian Lockport Group and Salina A Unit in southwestern Ontario and the application of core CT scanning technique

Lockport Group is a carbonate rocks succession that subcrops in southwestern Ontario; a potable water source, oil/natural gas producer and storage, and a hydrochemical indicator interval for potential nuclear waste disposal. Using core logging and lithofacies analysis to establish a sequence stratigraphic model, it is possible to document and interpret the regional geographic and stratigraphic […]

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Identifying forests with old growth potential in the Credit River Watershed

Old growth forests provide important ecological services including carbon storage and habitats for a diverse array of species, yet they are often rare across the landscape. These forests are often challenging to identify due to the lack of concrete definitions of what constitutes old growth, as well as the lack of understanding of the typical […]

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