Investigating WD repeat protein function in the nucleolar biology and cancer

Ribosome biosynthesis is one of the most multifaceted and energy-demanding processes in biology. It involves over 250 factors that transiently associate with the nascent pre-ribosome in a well-orchestrated manner. Importantly, increased ribosome biogenesis has a critical role in cancer initiation and progression. Owing to the advances in cryo-electron microscopy, this pathway's detailed mechanism started to be revealed, setting the grounds for new therapeutic interventions. The current project seeks to develop chemical probes for WD repeat proteins, a new drug target class.

Metamaterials toolbox:Tuning heat flow at will in the Si-based materials at nano- and mesoscales

Heat management in semiconducting nanomaterials requires the design of engineered artificial structures, known as metamaterials, where thermal properties can be tuned almost at will by microstructural modifications. Testing a broad range of nanostructures for the particular device applications, with predictive behavior, is a grand challenge especially because of the difficulties associated with the experimental synthesis of the pristine samples, their char- acterization and property calculations.

Antiviral Treatments for the Development of Enhanced PPE, HVAC Filtration Technologies, and Prevention of Pathogen Transfer on High-Touch Surfaces

The COVID-19 pandemic has illustrated the need for the development and commercialization of enhanced personal protective products, air filtration systems, and high-touch surface coatings which supplant residual disinfection and render viruses inert. The pandemic has also highlighted the need for local supply-chain establishment, including antiviral coating manufacturing and materials sourcing in Canada.

Evaluating the effects of Growth Differentiating Factor 15 (GDF15) in the development of non-alcoholic steatohepatitis (NASH).

In Canada, over 30% of adults and 10% of children are affected with non-alcoholic fatty liver disease (NAFLD), a chronic condition often related to obesity. NAFLD refers to a range of conditions related to excess fat in the liver, unrelated to alcohol intake. NAFLD is a precursor to liver cirrhosis, end stage liver disease and is a major risk factor for liver cancers.

Synthesis and characterization of a new generation of bone targeting anabolic prodrugs - Year two

Prostaglandin E2 stimulates bone formation in vivo and exerts its effects through the EP4 receptor. Unfortunately prostaglandin E2 and agonists for the EP4 receptor also cause unacceptable systemic side effects which have limited their clinical use as anabolic agents. We developed novel bone-targeting prodrugs that can deliver EP4 agonists selectively to bone and liberate active drug slowly in situ to effect bone formation while avoiding the side effects.

Seasonal Change in Roosting Ecology in the Silver-haired bat (Lasionycteris noctivagans)

Silver-haired bats are common species of bat found in North America. They use cavities in trees and space under loose bark to roost, or rest and raise young. The silver-haired bat is thought to migrate south over the winter. Despite this, we have found them in parts of British Columbia during the winter, suggesting they may not migrate in these areas. Our work will help support a MSc student who will investigate how silver-haired bats are using trees in areas where they overwinter in British Columbia and compare with how they use trees in the summer.

Hybrid recommender system with multi-source data and social knowledge graph integration

Accurately recommending items of interests is essential for users to improve their experience. To acquire better performance, a recommender system can utilize multiple sources of data and the social knowledge graph. This can lead to efficient use of information to improve the recommender system. By exploring the data and extract crucial features to feed to designed models, the recommending engine can increase its performance dramatically. Furthermore, a social knowledge graph contains the description and relation of users, which can act as a knowledge base for inference.

Cloud platform for machine learning

Surgical Safety Technologies aims to provide healthcare professionals with the opportunity to perform research in areas of surgical performance and education and implement evidence-based solutions to improve patient safety. Search on video content would an ideal functionality to assist with healthcare professionals’ research. This project uses computer vision model to rank the relevance of the surgical video.

Convolutional Neural Network for Demand Forecasting

Many retailers are interested in forecasting demand for the products they sell. Deloitte has used machine learning methods to tackle this problem in the past. However, this requires the creation of hand-crafted features based on product sales data, which is a costly and time-intensive process. Using alternative models to perform this task would remove the need for laborious data manipulation. It will also allow model enhancements to scale across many clients rather than requiring from-scratch data manipulation for each new client.

Data Science and Machine Learning Algorithms for Event Sequence Data

Everyday millions of customers move through the sales cycles of companies, generating numerous data for potential use. The main objective of the research project is to advance the current state of the art techniques inside the company, with respect to the application of new algorithms on customer behavior data. From a research perspective, access to large sets of complex real world data can enhance great possibilities to apply and evaluate existing techniques at scale and to develop exciting new ones.

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