I am an engineering student in Computer Science and AI at INSA Rouen Normandy and an incoming research-oriented M.Sc. student in Data Science at the University of Rouen Normandy. I am interested in deep learning broadly, especially representation learning, world models, deep reinforcement learning, and adversarial machine learning.

My current internships apply deep learning to different domains: at InterDigital, I work on methods for next-generation video compression, with emphasis on VVC (H.266) in-loop filtering and decoder-side filter selection; at Enedis, I work on generative modeling and PySpark pipelines for high-frequency electricity-grid time-series simulation.

Recent projects include Opportunistic Target Selection, a lightweight wrapper for query-efficient score-based black-box adversarial attacks accepted at CAp 2026, and SLS-WM, an independent research project on structured label smoothing for discrete world models.

I am seeking a six-month final-year research internship in deep learning starting in 2027.

Research interests

• Deep Learning
• Representation Learning
• World Models and Deep Reinforcement Learning
• Adversarial Machine Learning