This study explores how people with endometriosis make treatment decisions while preserving future fertility. Through interviews with 38 patients across British Columbia, it reveals that personal values, healthcare access, provider relationships, structural barriers, and societal factors all shape decision-making, highlighting opportunities to improve patient-centred reproductive care.

This research uses LiDAR and individual tree segmentation to replace traditional polygon-based forest inventories with precise, tree-level data. By modelling the growth and interactions of individual trees, it enables more accurate forest management, improving timber planning, ecosystem resilience, and climate adaptation while supporting sustainable forestry across British Columbia.

This research uses airborne laser scanning and predictive modelling to identify subtle Indigenous archaeological sites hidden beneath British Columbia's forests. Working in partnership with the Gitxsan Wilp Gwininitxw, it combines remote sensing, environmental data, and Indigenous knowledge to support cultural heritage protection, land stewardship, and informed decision-making on unceded territories.