L2M-Local Connect

This project aims to develop a scalable, data-driven model for regional food distribution that connects local producers with restaurants, retailers, and institutions through an efficient cold-chain supply network. By addressing current logistics challenges—such as fragmented delivery routes, inconsistent volumes, and lack of shared infrastructure—the project will design a system for demand aggregation, route optimization, and […]

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L2M ScaleUp

ScaleUp is a marketing tool that uses AI to help small businesses plan, create, schedule, and measure social posts in one place. This project will test ScaleUp with real firms, learn which features matter most, and shape an easy, affordable package. The intern will run interviews and small pilots, compare results before/after use, and report […]

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Myotis lucifugus and Myotis yumanensis mixed maternity roost monitoring methods

This project seeks to develop a non-invasive method, which does not require direct wildlife capture and handling, for monitoring the endangered little brown myotis and a co-occurring species, Yuma myotis, at shared summer maternity roost sites in western North America. A method is urgently needed so that potential species-specific impacts to these two bats from […]

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AI-Powered Fish Monitoring: Supporting Indigenous-led Conservation in Deadman Watershed

Secwépemc Fisheries Commission (SFC) currently relies on a semi-automated system that requires biologists and technicians to manually review video footage to confirm fish counts. This process is time-consuming, delays reporting, and limits access to real-time information. The interns will develop an automated fish-counting tool that uses computer vision and artificial intelligence (YOLOv2 object detection, ByteTracker, […]

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The Cannabis Bioproducts Toolbox

Cannabis sativa (hemp or marijuana) produces a remarkable range of bioproducts that serve rapidly expanding markets for pharmaceuticals, nutritional products, and industrial fibre. With partners Supra THC Services (SUPRA) and Valens AgriTech Limited (VAL) (both wholly owned subsidiaries of Valens GroWorks), we will identify genes responsible for producing healthful oils and proteins in hemp seeds, […]

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Genomic methods for herbal supplement quality assurance

It is critical for consumers to be assured that Natural Health supplements being purchased commercially are of high quality and contain the ingredients as listed on labels. For regulatory agencies to make such assurances, it is important that third-party product testing be carried out to identify the presence of the appropriate botanicals and their active […]

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Development of fluorogenic sensor for imaging of Amyloid-? Plaques

Alzheimer’s disease is one of the hardest diseases to detect, even though an estimated 5.3 million Americans had Alzheimer’s disease in 2015, as reported by Alzheimer’s association. Alzheimer’s disease is known to be caused by amyloid-? plaques. Amyloid-? plaques are plaques that form in the spaces between nerve cells, greatly affecting the neuronal network which […]

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Metagenomics to assess impacts of the Mount Polley Mine tailings dam breach onassociated ecosystems

The Mount Polley tailings impoundment failure released 24 million m3 of mine-influenced water and sediment into the surrounding watershed. The scale of this spill is unprecedented in BC history, and the effects on current and future ecosystems are unknown. Of paramount concern is the containment of toxic metal-containing compounds that threaten aquatic life. My research […]

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Custom Storage Engine for Scalable AI-Driven Estimating Infrastructure

This project will focus on the development and deployment of a custom storage engine for PataBid’s Quantify platform—an AI-powered estimating solution used by construction professionals across North America. The storage engine will be purpose-built to unify all platform data into a single object store, hosted within PataBid’s proprietary clustered hyper-scale environment. It will also be […]

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