I am a postdoctoral researcher in Machine Learning at the SnT (University of Luxembourg). My current work focuses on machine learning for power grids (time-series forecasting) and LLM multimodality. I enjoy building practical ML systems, data pipelines, teaching, and crafting lightweight apps for constrained devices.

I received an Master's degree (diplôme d'ingénieur) in data science and AI, with a biomedical specialization from TELECOM Nancy. My previous research includes interpretability and fairness in ML, and I have experience in industry projects like building an abnormal process detector for Orange Cyberdéfense and developing an AI linking colors and odors for the startup Myrissi.