Jorge graduated in Physics, specializing in Theoretical Physics, from the Universidad Autónoma de Madrid in 2005. During an Erasmus stay at the Laboratoire d’Astrophysique de Grenoble (LAOG), he obtained a Master 2 degree in Astrophysics and Dilute Media. He completed his PhD in Astrophysics in 2013, focusing on the generation of mock galaxy catalogues from dark-matter N-body simulations for present and future galaxy surveys. He joined the Astrophysics and Cosmology group at PIC in 2012 and, in 2024, obtained a permanent position at CIEMAT within the Scientific Computing Unit.
His research lies at the intersection of Cosmology and Computer Science, combining the generation of high-fidelity synthetic galaxy catalogues with the development of advanced tools and infrastructures for the management and analysis of massive astronomical datasets.
Since 2016, he has served as Scientific and Technological Head of the PIC Big Data Common Service. He is also Scientific Manager and Lead Investigator of CosmoHub, an interactive platform for the exploration and distribution of large astronomical datasets, and SciPIC, a framework for the production of large-scale, high-fidelity synthetic galaxy catalogues from cosmological simulations. He is Coordinator of the Euclid Cosmological Simulations Working Group and leads the deployment of the Vera C. Rubin Observatory LSST Independent Data Access Center (IDAC) at PIC, holding Principal Investigator (PI) status within LSST in Spain.
He has been awarded Builder status by the PAUS, DES and Euclid collaborations, in recognition of sustained and fundamental contributions to the development and success of these projects. He is also a member of the MICE collaboration, Gaia DPAC and ESA’s ARRAKIHS mission.
He is Principal Investigator of several competitively funded national research and scientific infrastructure projects, including a National Plan Scientific and Technical Equipment project and two consecutive coordinated “Generación de Conocimiento” projects. He has also coordinated the AstroHEP programme at IFAE to strengthen national computational capabilities and represents PIC in the European ACME project.
