I am a geo-data scientist with research interests in GIScience, spatiotemporal data mining, big data analytics, geovisualization, and their application in spatial science domains including public health, urban study, transportation, spatial-social sciences and humanities.
Specifically, my research focuses on the mining, mapping and visual analytics of big spatial mobility data, such as human movement, migration, urban dynamics, geo-social media, information dissemination, and disease spreading. Big mobility data pose great challenges for analysis due to the complexity of massive connections across space and time, which call for new approaches for the visual exploration, data synthesis, pattern extraction, user interaction, and decision support with mobility data. My previous research developed scalable and effective computational and visualization approaches to help derive insights from big geographic mobility data, including both origin-destination (OD) data and trajectory data. The contribution of my work includes two related areas: (1) time series analysis of mobility (with applications in land-use change analysis and urban event detection), and (2) flow clustering and flow mapping of massive flow data (with applications in mapping billions of taxi trips and U.S. migration analysis).