Alejandra De Aberasturi Gómez
Researcher at IMEC AILabs Paris
Paris, Ile-de-France
Summary
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Senior🎓
Top SchoolAlejandra De Aberasturi Gómez is a researcher and computational electromagnetics engineer with eight years of experience building high-performance simulation software for aerospace applications, including the SEMBA electromagnetic simulator used by Airbus Defense and national research institutes. Trained in physics and AI, she blends deep domain knowledge in FDTD methods, material parameter recovery and RF vulnerability analysis with practical software development in multi-language scientific codebases. Her work spans academic and industry collaborations across Spain, the UK and now Paris, and includes a PhD and a visiting stint at Oxford that sharpened both theoretical and applied skills. Known for tackling real-world complexity—curved geometries, thin apertures and modern CPU optimizations—she brings a rare combination of hands-on coding, signal analysis experience, and system-level thinking to aerospace electromagnetics.
8 years of coding experience
1 year of employment as a software developer
Master Physics and Mathematics, Master Physics and Mathematics at Universidad de GranadaUPC Universitat Politècnica de Catalunya
English, French, Spanish
Github Skills (3)
bayesian3
machine-learning2
hybrid1
Programming languages (2)
Github contributions (5)
aloaberasturi/SEMBABlackBoxTest
Oct 2018 - Jun 2019
Contributions:61 commits, 17 pushes, 1 branch in 8 months
aloaberasturi/PGM-final-project
Dec 2020 - Dec 2020
A repository with a toy implementation of the paper Combining content-based and collaborative recommendations:A hybrid approach based on Bayesian networks
Contributions:34 commits, 37 pushes, 4 branches in 17 days
toyapproachbayesian-networksmachine-learningcontent-based
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