Alex Ayet
PHD Candidate
Greater Paris Metropolitan Region France
Summary
👤
Senior🎓
Top SchoolAlex Ayet is a PhD candidate at IFREMER with nine years of research experience at the intersection of applied mathematics, meteorology, and oceanography. Trained at ENS, École Polytechnique and UBO, he develops coupled wave–ocean–atmosphere models to probe theoretical air–sea interactions and improve forecasting. His background spans theoretical derivations, ensemble Kalman filter development, and numerical experiments with operational atmospheric models, plus applied ML/statistical work for solar irradiance forecasting. He favors methods that are both mathematically rigorous and practically applicable to climate or weather prediction. Notably, his work combines analytic solutions in idealized setups with implementation and performance testing on intermediate-complexity and operational models. Based in Greater Paris, he brings a rare blend of theoretical physics, oceanography, and hands-on numerical modeling to geophysical problems.
9 years of coding experience
Master’s Degree, Theoretical Physics, Master’s Degree, Theoretical Physics at Ecole normale supérieureMaster’s Degree, Physical Oceanography, Summa cum Laude, Master’s Degree, Physical Oceanography, Summa cum Laude at Université de Bretagne OccidentaleMaster’s Degree, Atmospheric Sciences and Meteorology, Master’s Degree, Atmospheric Sciences and Meteorology at École PolytechniqueMathematics, Physics and Informatics, Mathematics, Physics and Informatics at Lycée Saint-Louis, Paris
French, English, Spanish, Italian, Catalan, PortugueseGithub contributions (5)
AAyet/analog-solar-forecasting
Feb 2018 - Feb 2021
Contributions:6 commits, 5 pushes, 1 branch in 3 years
AAyet/QJRMS_2019
Jun 2019 - Aug 2019
Contributions:1 push, 1 branch in 2 months
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