This research cluster, a joint initiative between the Sorensen Lab at UBC and the Morin Lab at SFU with a number of key partners, involves a multidisciplinary approach to better understand the role of genetic changes in individual types of pediatric cancer, and how we might use this information to design better treatments for these […]

To ensure that PPPH priority projects are developed using the most up-to-date evidence and to increase the likelihood of project success, evidence synthesis will be crucial in facilitating a deeper understanding of community health issues, the contributing factors, associated health inequities, and appropriate interventions to improve health outcomes. The objective of this project is to […]

The practice of mining creates visible and invisible legacies on lands and livelihoods. In Canada, the mining industry has left a large footprint on the landscape, whose recovery is required through ecological restoration actions. However, current restoration practices face the pressure of adapting to a changing climate while also taking into account the relationships people […]

This project explores the potential of low-tech biochar production using an invasive species to mitigate climate change and generate carbon credits. Focused on Kenya, the research assesses the viability of this practice, considering factors like feedstock availability, production data, and environmental impacts. The team aims to provide communities, policymakers, and investors with valuable insights through […]

Enormous quantities of machine-readable data, measured in many terabytes, are readily available. The sources include the world-wide web, publicly available databases, raw experimental data, unannotated genomic sequences generated by biochemical tools, and so on. However, data does not necessarily equal useful information. More often than not, the data has to be intelligently processed, interpreted, transformed, […]

Addressing greenhouse gas emissions from transportation is critical for Canada to meet its climate goals. Batteryelectric vehicles are expected to make a substantial contribution to this goal. Manufacturing and end-of-life disposal of the batteries results in significant greenhouse gas emissions. Understanding the state of health of the batteries can keep the batteries in the vehicle […]

This project will determine what safe by-products are being created by the air pollution, including Carbon Dioxide, that RainIons is transforming/reducing with the unique materials and coating, what the mechanism of action is (e.g., how it’s occurring), and help RainIons optimize their technology for production. The project has three phases: • Phase 1: Determine what […]

The Immersio Web Application project aims to make learning languages easier and more enjoyable for people everywhere. By improving the way learners, teachers, and institutions interact with the app, our goal is to minimize confusion and distractions in the learning process, allowing users to focus more on learning and teaching. This project will benefit Immersio […]

On a global scale, there’s a big effort to set ambitious goals for cutting down on the amount of carbon emissions we release into the atmosphere. To achieve this, we need to upgrade and expand our electrical grid so it can handle the increased use of electricity in various sectors. The problem is that there […]

Design and deploy a system that allows users to utilize specific generative AI models such as Large Language Models in order to fine-tune them on data specific to a particular domain to perform large-scale data analysis, prediction, and various outputs.

Finger-jointed lumber made from reclaimed and recycled lumber cut-offs/waste will be manufactured and used to produce mass timber panels (i.e., cross-laminated timber (CLT)). The mechanical properties of these panels will then be measured. The project therefore consists of two phases. The first one will focus on assessing the mechanical properties of the finger-jointed lumber made […]

This research project is dedicated to advancing seismic analysis practices for geological structures. The primary objective is to develop a suite of reliable and user-friendly modeling tools to enhance our ability to predict and mitigate the effects of earthquakes, particularly focusing on soil liquefaction. This involves robust numerical implementation of an advanced sand constitutive model […]