Wenlong Gong
Unit: University of Houston - Downtown
Title: Assistant professor
Research Expertise
My research centers on developing advanced spatio-temporal statistical models for environmental applications, with a focus on Bayesian hierarchical frameworks, non-stationary spatial processes, and data fusion integrating numerical model outputs with high-resolution sensor data. I also work on time-series modeling in finance, including volatility dynamics, dependence structures, and predictive modeling. My methodological interests span Bayesian inference, machine learning, and scalable computation for high-dimensional data. I am currently expanding my work into AI-driven modeling—leveraging deep learning, generative models, and hybrid statistical/AI approaches to improve forecasting, uncertainty quantification, and decision support across environmental and financial domains.
Areas of Expertise/Keywords
Spatial statistics; Bayesian modeling; Machine learning; AI; Deep Learning; Environmental data; Finance
