Virgilio Gómez-Rubio

Bio: Virgilio Gómez-Rubio is full professor in the Department of Mathematics, School of Industrial Engineering (Universidad de Castilla-La Mancha, Albacete, Spain). His main areas of interest include Bayesian inference, spatial statistics, and statistical computing. His research centers on the development and application of Bayesian methods for complex data structures, with a particular emphasis on the Integrated Nested Laplace Approximation (INLA). He has made substantial contributions to the R programming community by developing widely used packages and tools for Bayesian modeling and spatial analysis. Virgilio is the author of book “Bayesian Inference with INLA”, published by CRC Press, that received the 2022 SEIO–BBVA Foundation Award in Data Science and Big Data.