معرفی
Alejandra Recio-Blanco is a Researcher at the Côte d'Azur Observatory (Lagrange Laboratory). She plays a pivotal role in the Gaia Data Processing and Analysis Consortium (DPAC), managing the Generalized Stellar Parameteriser - Spectroscopy (GSPspec) working group responsible for deriving stellar parameters, chemical abundances, and DIB parameters from Gaia/RVS spectra. Her work bridges observational astronomy with advanced data analysis techniques.
- Galactic Archaeology
- Automated Stellar Parameterization
- Chemical Abundance Analysis
- Space Mission Data Exploitation
- Machine Learning in Astronomy
- Galactic Evolution Modeling
Her research focuses on reconstructing the Milky Way's formation history through chemo-dynamical analysis of stellar populations. She pioneered automated spectral analysis tools now used in international projects like Gaia, Gaia-ESO Survey, and ESO-OCA AMBRE project. Her studies revealed chemical bimodalities in discs and bulge, and the role of ex-situ components in halo populations.
Recent publications highlight her leadership in Gaia Data Release 3 (2022), including the chemical cartography paper and GSPspec module analysis. Earlier works (2021, 2018, 2017, 2014, 2006) showcase her expertise in chemical evolution, parameterization algorithms, and satellite accretion studies.
Scientific Awards & Grants
- ANR-14-CE33-0014 (ARCHEOGAL project)
- EU H2020-SPACE-2020 No 101004214 (EXPLORE project)
- Advanced Research Programme of Université Côte d'Azur
She leads the Gaia-ESO Survey's spectral analysis group and contributes to AMBRE, RAVE, WEAVE, and MOONS surveys. The EXPLORE project integrates her work on developing machine learning tools for space data exploitation. She supervises a Marie Skłodowska-Curie postdoctoral fellow since 2022.
