Team

Thesis
As a research engineer, I have contributed to several major international programs led by ESA, NASA, CNES, and ESO, including SoHO, COROT, Kepler, PICARD, and VLTI/MATISSE, focusing on solar and stellar physics. Since 2021, as a member of the ERC-funded ISSP survey team, I have been responsible for managing the entire SPICA data processing workflow, from metadata to L0, L1, and L2 levels. This survey is based on the SPICA-DB catalog, which contains all the necessary information about the stars to be observed. This catalog is at the heart of the two main graphical interfaces developed for the ISSP survey: the Night Scheduling Software (NSS), which is used to prepare the interferometric observations with the CHARA array, and the Data Feeding and Querying Software (DFQS) designed to manage the survey, while updating the SPICA-DB catalog accordingly. These tools, built in Python, are linked to those developed at the Jean-Marie Mariotti Center (JMMC) through the interoperability of VO tables. Moreover, the data workflow for the collected observations is automated within the end-of-night procedures, including the archiving of the SPICA data in the Optical interferometry Database (OiDb). Several other catalogs are associated with SPICA and are updated with new observations, such as the follow-up of the ISSP survey and the scientific catalogs, all of which are essential for the overall management of the project. I am also working closely with the scientific team on the implementation of new functionalities in the existing Python tools, as well as with the Pôle SNO Numérique at OCA to develop a new web service to manage the SPICA/ISSP survey.