Firma en Digital.CSIC (*):
Centro o Instituto:
CSIC - Centro de Estudios Avanzados de Blanes (CEAB)
Ecología Marina. Ecología molecular del bentos marino
Doctor contratado / Doctor
My research career focused on the analysis of diversity and evolution through the use of molecular methods, including three main axes that are intertwined: studies of evolutionary genetics of invertebrates, bioinformatics and applied sciences. I have carried out evolutionary genetics studies in different taxa, covering from ancient divergences to contemporary population genetics. I used phylogeography, phylogenetics and population genetics methods, including the implementation of bayesian phylogenetic inference and Approximate Bayesian Computation methods. Within this first axis, I have carried out research on the conservation genetics of lobsters, molecular epidemiology and DNA barcoding. After obtaining an MSc in Mathematical Research, I started a second axis of research focused on the use of bioinformatics and mathematical modelling for the study of evolutionary processes. I have developed several computer pipelines, with some being published and released for public use. Research projects as a “Juan de la Cierva” and “Marie Curie” postdoc have focused on applied science, both in molecular epidemiology and biological control. I have studied the population genomics of pathogenic bacteria and metagenomics of the microbiome, with the development of several pipelines for analyzing genetic diversity from complete genomes and next-generation sequencing (NGS) data. As a postdoctoral researcher at the ISA, I have used NGS methods for characterizing arthropods and associated bacteria relevant for Biological Control. During the last 5 years I have also supervised research projects carried out by final year undergraduates, MSc and PhD students. Despite working on different taxa throughout my career, I have always carried out an integrated research by using molecular markers to define species limits (using phylogenetic methods and coalescent theory) and characterizing hidden diversity (using bioinformatics and metagenomics).
Perfil en Google Scholar:
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