Summary
Victor Bonjean is a postdoctoral researcher with nine years of experience applying data science and deep learning to observational cosmology and astrophysical imaging. Trained with a PhD from Université PSL and a background spanning École Polytechnique to Institut d'Astrophysique Spatiale, he has developed source-detection algorithms, multispectral component separation, and big-data cataloguing for institutes including ICS-FORTH, IAC, SISSA and CNRS. He blends research-grade modeling with practical engineering, moving ML methods from algorithm prototyping to production-ready pipelines on large astronomical surveys. Based in Heraklion, he brings a cross-disciplinary fluency in physics, cosmology and applied machine learning, often tackling the messy challenges of real observational data rather than idealized simulations.
9 years of coding experience
Master 1, Physique des Hautes Energies, Master 1, Physique des Hautes Energies at École Polytechnique
Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at Université PSL
Licence, Physique fondamentale, Licence, Physique fondamentale at Université de Bordeaux
Master 2 (M2), Astronomy and Astrophysics, Master 2 (M2), Astronomy and Astrophysics at Université Paris Diderot
English, French, Spanish, Italian