Hugo Frezat is a postdoctoral researcher with 11 years of experience applying machine learning and applied mathematics to dynamical systems, climate modeling and astrophysics. Trained with a PhD in fluid dynamics from Université Grenoble Alpes and a background in computer science and software engineering, he bridges rigorous theory and practical implementation—from C++ simulation tools to ML-driven models. He has moved through research roles at Inria, Institut de Physique du Globe de Paris and IGE, combining internships in light transport and semantic modeling with doctoral work on geophysical flows. Known for blending numerical analysis with data-driven methods, he brings a rare mix of hands-on coding, academic publication experience and interdisciplinary collaboration across physics and computational science.
11 years of coding experience
Doctor of Philosophy, Fluid dynamics, Doctor of Philosophy, Fluid dynamics at Université Grenoble Alpes
Licence, Computer Science, Licence, Computer Science at Université Claude Bernard Lyon 1
Baccalauréat, STI - Electrotechnique, Baccalauréat, STI - Electrotechnique at Lycée La Martinière Monplaisir
Responsable ingénierie logicielle, Informatique, Responsable ingénierie logicielle, Informatique at CESI
Contributions:59 commits, 1 PR, 83 pushes in 1 year 7 months
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