Presentation

PhD Student in Nuclear Physics and Artificial Intelligence

I am a first-year PhD student at the CEA (French Atomic Energy Commission) and Université Paris-Saclay. Prior to this, I obtained my Engineering Degree in Computer Science & Big Data from JUNIA ISEN Lille (France), graduating as Valedictorian at the age of 21.

My doctoral research sits at the intersection of Artificial Intelligence and Nuclear Physics. I am addressing the inverse problem inherent to Laser-Induced Breakdown Spectroscopy (LIBS).

Specifically, my work focuses on developing AI-driven methods to reconstruct elemental concentrations from complex emission spectra. The primary objective is to accurately quantify Uranium, Plutonium, and Gadolinium levels by inverting spectral data through machine learning techniques.

My research interests include:

• Optimisation Methods & Metaheuristics
• Applied Artificial Intelligence
• Hardware-to-software Optimisation

My personal interests include:

• Jazz music
• Robotics