PhD student in physics-informed AI. Machine learning research and engineering across public laboratories and industry.
Artificial intelligence for the optimization of the mechanical durability of systems subjected to severe vibratory loads. Funded by the AID (Agence de l'innovation de défense), run as a consortium between the DGA, the University of Angers and the University of Rennes.
Ten hours of machine learning for third-year bachelor students: lectures and lab sessions, taking the class from the general shape of a supervised learning problem through to convolutional networks, U-Net and variational auto-encoders. Taught in French.
R&D team at Sudo Group, working on machine learning for cloud cost optimization. Full autonomy on leading the research and implementing the core features that came out of it.
Objective performance evaluation of a newly developed machine learning algorithm for 3D point cloud classification, benchmarked on urban environment LiDAR data.
State of the art and experimental study on semantic segmentation for ultra high resolution UAV imagery, funded by the National Research Institute.
One-to-one tutoring in mathematics, computer science and English.
Built a predictive model for road surface condition as part of Accenture Technology's data science practice.