System modelling engineer

After studying engineering and earning a PhD in fluid mechanics, Yves continued his academic career by spending 2 years at the University of London. Finally, he decided to bring his numerical calculation skills to OSE.

Adrien has a degree in engineering from SIGMA Clermont. He spent over 3 years working as an expert in mechanical and structural simulation in the aeronautical industry. He also has a keen interest in programming and optimisation methods.

After completing his master's degree in mechanics and energy studies, Bastien earned a PhD in computational fluid dynamics at the LEGI in Grenoble, followed by postdoctoral research. He then channelled his skills into the world of renewable energy and energy savings.

A generalist engineer from ENSAM, Quentin specialised in digital simulation. He then worked on issues related to hydrofoil development in the maritime sector.

Paul is a graduate of ENSE3 (Grenoble-INP) in mechanics and energy. He continued in this field by completing a thesis and then two post-doctorates in the fields of fluid mechanics, fluid-structure interaction and marine renewable energies.

Sébastien graduated from École des Ponts ParisTech with an exchange year in maritime engineering at ENSTA Paris. He previously worked for a ship wing designer, where he participated in the development of numerous modeling tools for assessing and optimising fuel consumption reduction using wind power.

Théo is an engineer in scientific computing and numerical simulation, specialized in fluid mechanics and numerical modeling, with skills in Python, C++, and CFD. He has worked on the design and optimization of nautical systems as well as the simulation of complex physical phenomena.

Alex is a specialist in optomechanics and data analysis. He holds a PhD from ENS de Lyon and has conducted several postdoctoral research projects at Université Paris-Saclay and Institut Néel, focusing on the mechanical and thermal properties of silicon nanostructures. He has strong expertise in numerical modeling and high-precision experimentation.

A graduate of IMT Atlantique, specialized in machine learning and data physics, he has worked in R&D on advanced deep learning and computer vision methods applied to ocean modeling.

Julien is a PhD candidate in physics at the Albert Fert Laboratory (CNRS/Thales), where he works on implementing machine learning algorithms using quantum systems, particularly coupled quantum oscillators. A graduate of ENS Paris-Saclay (Physics Department), he combines strong expertise in quantum mechanics, numerical simulation, and Python development.