Dr. Kang is an Assistant Professor of Computational Spatial Science. Her research interests reflect methodological and substantive concerns. Her methodological interest is the development of spatial/spatiotemporal analytics and local spatial models which could provide spatially enhanced insights into complex socioeconomic processes. Her substantive research interest is in housing, residential mobility, urban & neighborhood change, inequality, and disaster resilience. Her current project investigates eviction and neighborhood change before and after the COVID-19 pandemic in Inland Southern California using a multiscalar, comparative, and mixed-methods framework.
Dr. Kang is also the core developer and maintainer of the widely used open-source spatial analysis python library - PySAL.
Dr. Kang is currently teaching "Introduction to Python Programming" and will offer "Geographic Information Analysis" and "Advanced GIS" in future semesters.