Welcome to this place! ;)

I am Joaquín Martínez-Minaya, Assistant Professor in the Department of Applied Statistics and Operations Research and Quality at Polytechnic University of Valencia. My primary interest lies in Applied Bayesian Statistics, where I am actively engaged in advancing the field of Species Distribution Modeling through the application of spatio-temporal Statistics. This involves a comprehensive exploration of the dynamic behaviors exhibited by plant and marine species, utilizing sophisticated modeling techniques to enhance our understanding of their spatial and temporal patterns.

Currently, Health, Environment and Economics stand as fundamental pillars of my research, and I am currently involved in projects whose aims cover the study of the relationship between pollution and respiratory diseases; understanding microbiota using multivariate hierarchical Bayesian models; assessing measurement agreement through Bayesian mixed models; conducting medical image analysis with spatio-temporal models, and applying spatial statistics to the field of spatial transcriptomics.

Moreover, my expertise extends to Bayesian computational methods, where I specialize in implementing techniques for Compositional data within the framework of the Integrated Nested Laplace Approximation (INLA) and Markov Chain Monte Carlo Methods (MCMC). This computational aspect forms an integral part of my holistic approach to addressing diverse challenges within the health and environmental sectors, now including the multifaceted impacts of climate change.