Summary
Martin Bauw is a research engineer based in Paris with nine years of experience specializing in signal and image processing, time series modeling, and machine learning. He holds a PhD from Mines Paris and has applied ML and optimization methods across radar, histopathology, and robotics projects at Thales, Aignostics and ENSTA before joining ONERA. Proficient in Python and MATLAB, he also brings practical MLOps experience (MLflow, GitLab) and HPC workflow automation with Slurm. His background combines rigorous academic research with hands-on R&D pipeline development, and he uniquely pairs defense-oriented signal processing expertise with biomedical AI experience.
9 years of coding experience
2 years of employment as a software developer
ENS Paris-Saclay degree electrical engineering department, ENS Paris-Saclay degree electrical engineering department at ENS Paris-Saclay
119ème cycle « Jeunes » de l’IHEDN (Toulon 09/2020), 119ème cycle « Jeunes » de l’IHEDN (Toulon 09/2020) at Institut des hautes études de défense nationale (IHEDN)
Classe Préparatoire aux Grandes Écoles PCSI-PC* (filière Physique-Chimie), Classe Préparatoire aux Grandes Écoles PCSI-PC* (filière Physique-Chimie) at Lycée Henri Wallon
Master 2 AIC Artificial intelligence machine learning, Master 2 AIC Artificial intelligence machine learning at Université Paris-Saclay
Préparation militaire supérieure Marine - État-Major
PhD, PhD at Mines Paris - PSL
French, English, German