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New Faculty Profile: Henry Luan, Assistant Professor, Geography

Henry Luan’s research program focuses on advancing probabilistic inferences in geospatial data analysis. He is particularly interested in Bayesian spatial and spatiotemporal modeling and its applications in exploring inequities of urban environmental exposures and their associations with health. He also applies (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.



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