The central research goal of my research is to examine the concept of resiliency and sustainability within the context of resource-based communities to address the often problematic relationship(s) between resource reliance, community well-being, and adaptive capacity.
Osteosarcoma is an aggressive bone cancer in dogs and people. My lab investigates the mechanisms that permit osteosarcoma cells to spread to new sites (metastasis) and survive exposure to chemotherapy (chemoresistance). Additionally, we are working on identifying biomarkers that can help predict outcomes and/or guide therapeutic decisions for patients with osteosarcoma.
I have an interest in conservation induced livelihood change, forest governance, conservation partnerships and Indigenous-led conservation governance. My work seeks to improve the social and ecological outcomes of conservation governance.
My research is designed to better understand the relative risks that environmental stressors may pose to the biota of aquatic and terrestrial ecosystems with the goal of improving scientific and public understanding of those risks.
Statistical natural language processing has been actively studied in the field of Artificial Intelligence. My research is mainly focused on applying machine learning methods in Information Retrieval, Text Categorization, Sentiment Analysis, Text Segmentation, Text Summarization, Privacy Policy Analysis, and Text Mining.
My research looks at scales of local genetic adaptation to exotic Predators by Prey with high and low dispersal potential as well as ecological genomics and local adaptation of wild and aquacultural populations of Canadian Atlantic salmon.
I am interested in the diverse knowledge systems and participatory approaches (citizen science, youth engagement, community-based monitoring, Indigenous guardians, etc.) that contribute to community-led environmental decision making in resource-based and remote communities.
