Wassim Mazouz

I am a final-year engineering student at Centrale Lyon, specializing in Mathematics and Risk Engineering (MIR). In parallel, I am completing the GRAF program in Quantitative Finance at ISFA.

Currently, I am an AI & Quantitative Research Intern at BNP Paribas Global Markets - Data & AI Lab in Frankfurt, working on deep reinforcement learning approaches for hedging and applying state-of-the-art machine learning to real-world financial problems.

Previously, I conducted research at ENS Lyon within the OCKHAM team, focusing on optimization and machine learning. I also worked at LIRIS Laboratory in Lyon, where I developed image generation algorithms combining Wave Function Collapse and Quantized Autoencoders.

I am passionate about machine learning, quantitative finance, and tackling complex problems at the intersection of mathematics, technology, and real-world applications.