My past and current research focuses on Geospatial Data Science, which is an emerging interdisciplinary field intersecting GIScience, computational sciences, and mathematical-statistical sciences. On the theoretical side, my research develops and implements novel spatial-temporal data mining algorithms, environmental exposure assessment methods, and visual analytics approaches for high-dimensional data. On the practical side, my work includes exploring associations between environment risk factors and health effects in spatial big data, discovering knowledge from human trajectory data at different scales, and investigating patterns from social media big data.

You can find more information at my website.