Ricardo is a Lecturer at the Centre for Applications in Natural Resource Mathematics. He started out as a marine biologist, studying the link between fish and climate variability. Then he improved his skills in Statistics, to address those issues. As a PhD student, Ricardo developed Bayesian methods for spatio-temporal statistics, together with high performance computing applications in Fortran. Before coming to CARM, he was a research oceanographer at NOAA Environmental Research Division, at Pacific Grove, California. Ricardo’s main area of expertise is the development and application of spatio-temporal statistical methods to model environmental and biological variables. Examples of this include ocean temperature and fish abundance. His goal is to decompose the multiple spatial and temporal signals that exist in these data sets in a manner that is coherent with the underlying assumptions, so that he can correctly quantify uncertainty.