Decolonizing knowledge mobilization to advance Indigenous led conservation and reconciliation

The objective of this research project is to build capacity among Indigenous Nations and the conservation sector to catalyze reconciliation through the establishment of Indigenous Protected and Conserved Areas (IPCAs). To do so, this we will investigate how knowledge and evidence-based research can be effectively communicated in cross-cultural and Indigenous contexts. While the field of […]

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Deep Learning Models for Principled Causal Forecasting

Numerous Machine Learning (ML) tasks are forecasting problems, used to make downstream decisions. Acting on ML forecasts however can changes the distribution of observations relevant to the forecast. The implication is downstream decision optimization procedures implicitly expect the ML model to generalize outside of the observational distribution. Unfortunately, this is often not the case, and […]

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Knowledge translation tools to promote health behaviour change

Canada is a multi-cultural nation that welcomes immigrants from around the world, many of whom present a high prevalence of chronic medical conditions and its risk factors. To minimize this burden, it is essential that individuals at risk of such diseases are connected to evidence-based health information. Therefore, there is a need for strategies that […]

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Evaluation of co-delivery of anti-cancer drugs using a handheld injection device

The goal of this proposal is we aim to develop an injectable drug delivery system for intratumoral delivery of a combination of an AXL-inhibitor and FDA-approved chemotherapy drug (e.g.Dox). AXL inhibitors in combination with chemotherapies that target the DNA of cancer cells is a promising approach for treating cancers. The device is integrable to a […]

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Machine learning based reconstruction for laser diode photoacoustic imaging

Photoacoustic (PA) imaging has shown great potential in cancer detection, tissue characterization, and therapeutic applications. Laser diode-based PA imaging is a new development in this field that can be used for image guidance, nerve or cancer imaging, and the localization of a needle target during biopsy procedures. The PA imaging requires very accurate time synchronization […]

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Implementation of Tensor Neural Networks

Tensor networks are a quantum inspired technique that provide useful mechanisms for solving hard problems, usually in the realm of quantum mechanics and many-body systems, through the manipulation and operation of tensors. The main challenge underlying this project is the productionalization of a quantum-inspired deep learning algorithm which currently exists as a proof of concept […]

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Synoptic conditions of rain-on-snow related environmental and operational issues in forestry activities on Vancouver Island, British Columbia, Canada

Watersheds in the coastal regions of British Columbia are comprised of rugged mountains and high storm runoff, rendering streams prone to increases in snowmelt during rain-on-snow (ROS) events due to forest harvesting. Importantly, both forest harvesting operations and ROS events are widespread in the transitional snow zones of Vancouver Island, BC. Correspondingly, they routinely experience […]

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Reducing homelessness using direct cash transfers (expansion project)

The goal of this project is to examine the effect of one-time unconditional direct cash-transfer to recently homeless individuals in Vancouver, BC, Canada. Building on promising results from our research team’s ground-breaking pilot randomized controlled trial (RCT) with 50 cash recipients, the current project seeks to confirm this preliminary evidence using a larger RCT with […]

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