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My research expertise is situated at the intersection of Computing Science and Geographic Information Science (GIScience). I am particularly interested in advancing geospatial artificial intelligence (GeoAI) methodologies for spatial analysis, modelling, and decision support. I am also passionate about developing geospatial analysis and modelling software tools for researchers, educators, and practitioners.
I received my PhD in GIScience from Simon Fraser University in 2025. My PhD research contributed spatialized cost-sensitive learning strategies to enable data-driven land cover change forecasting from imbalanced multitemporal datasets. I also hold a MSc in GIScience, BSc in Computing Science, and Spatial Information Systems certificate from Simon Fraser University.
My current research focuses on advancing geospatial artificial intelligence (GeoAI) methodologies for analyzing and modelling problems arising from human-environment interactions. I am particularly interested in spatially-explicit and explainable GeoAI solutions that keep domain experts "in the loop." My work draws on the fields of geographic information science, computing science, artificial intelligence, complexity science, and geography.
Current applications of interest include land use/cover change, urban heat island effects, efficacy of green infrastructure, nature-based solutions for built environments, sustainable landscape design, and urban forestry. The goal is to develop geospatial analysis, modelling, and decision support methodologies and tools for real-world spatial planning, decision-making, and policy design.