Guohui Wu

(1) Solid background in statistics, mathematics, and computation science. (2) Results-focused professional with expertise in discrete choice models, count data models, and spatial econometrics. (3) Proven research abilities with top tier journal publications in the areas of Bayesian Spatio-Temporal models, capture-recapture models, and Bayesian hierarchical models. (4) Deep understanding about Bayesian methods with in-depth knowledge of Markov chain Monte Carlo sampling algorithms. (5) Passionate computational statistician with hands-on experience in big data analysis and high-performance computing using OpenMP and GPU. (6) Enthusiastic data-driven modeler proficient in programming languages such as C, R, SAS, and C and R interface. (7) Excellent team worker with superb interpersonal skills.