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Lorca Alejandro - Gaia
Gaia contributors
Gaia was proposed in 1993 and since then, many people have been involved in the Gaia mission, whether at ESA, at industry side or at one of the institutes involved in the Gaia data processing. The Gaia Data Processing and Analysis Consortium (DPAC) is a collaboration which consists of around 450 scientists and engineers.
The list of Gaia contributors presented here should not be considered a complete representation of the entire consortium and should not be considered as a list of currenly active people on the Gaia mission. A more complete list of Gaia contributors that were involved in the creation of the Gaia catalogues can be obtained from the author lists of the Gaia Collaboration overview papers (for Gaia Data Release 1 see here, for Gaia Data Release 2 see here, for Gaia Early Data Release 3 see here, for the full Gaia Data Release 3 see here, for Gaia Focused Product Release see here). A history of contributions to the Gaia mission can be found from the acknowledgements given with each data release.
Gaia DPAC members who wish to be featured on these pages can contact the Gaia Helpdesk. Anyone who wishes to be removed from this website can contact the Gaia Helpdesk.
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Alejandro Lorca European Space Astronomy Centre |
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Alejandro Lorca joined Gaia as DPAC software engineer on June 2019 after having offered technical IT support to the Gaia SOC team at ESAC for more than six years. Currently he is involved in the CU8 validation platform, building performant solutions based on technologies such as Jupyter notebooks, virtualization, containers, storage and databases. He is also interested on distributed, scalable and automated techniques which can broaden the accessibility and usability of data-mining and big-data services for the CU8/CU9 units, with special focus on the next Data Releases. Alejandro's background is in particle physics (Ph.D. in 2005) and computing science. He worked as post-doc in Freiburg University and Complutense University of Madrid, and was deeply involved with grid computing in e-Science and High-Performance computing on cluster projects for the MAGIC telescopes and the CTA design.
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Gaia people archive
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