A broken amplifier first got me into audio processing. What started as a simple electronics repair led me to formal studies in signal processing and machine learning. I graduated from the University of Rennes 1, where I focused on deep learning approaches for speech enhancement, specifically Generative Adversarial Networks (GANs).

As a musician, I’ve always been drawn to the details of sound, which led me toward hearing science. I’m particularly interested in making audio technologies, such as hearing aids, more accessible.
With this in mind, I’m now pursuing a PhD in neuroscience and speech processing at the Université Libre de Bruxelles (ULB), focusing on auditory perception and how people adapt to accented speech.