GEOG 281 The World and Big Data

GEOG 4/594 Spatial Analysis

GEOG 490 GIS and public health

GEOG 607 GIS seminar: Topics in Spatial and Spatio-temporal Analyses 

My program of research focuses on advancing probabilistic inferences in geospatial data analysis. I am particularly interested in Bayesian spatial and spatiotemporal modeling and its applications in exploring inequities of urban environmental exposures and their associations with health. I also apply (Bayesian) machine learning as well as computational methods including Markov chain Monte Carlo (MCMC) and Integrated Nested Laplace Approximation (INLA) to efficiently analyze large volumes of heterogeneous geographical data.

PhD, University of Waterloo, 2016

MSc, Wuhan University, 2011

BSc, Wuhan University, 2009