I am a post-doctoral researcher in Metal Additive Manufacturing and Machine Learning at the department of Mechanical Engineering of the Vrije Universiteit Brussel in Brussels, Belgium. My research focuses on optimizing the Directed Energy Deposition process by applying Machine Learning techniques on in-situ monitoring data.

I received my Master’s degree in Electromechanical Engineering from Université Catholique de Louvain in 2016 and successfully defended my PhD at the Vrije Universiteit Brussel in 2024. Before working in academia, I worked in the aerospace sector, at Safran Aero Boosters as a R&T Engineer and at the European Space Agency as a National Trainee.

Research interests

• Optimization of the steady-state Directed Energy Deposition (DED) process using temperature estimation and Machine Learning methods
• Deep Learning anomaly detection in DED using in-situ hyperspectral melt pool images
• Reinforcement Learning control of the DED process