About me

With a PhD in signal and image processing from the Université Paris-Saclay, I specialize in machine learning and domain adaptation applied to biomedical signals.

I did my PhD in the MIND team at Inria Saclay under the supervision of Alexandre Gramfort, Denis Engemann and Sylvain Chevallier. During these 3 years, my research was to bridge the gap between advanced signal processing and real-world healthcare applications, leveraging domain adaptation techniques and Riemannian geometry for predictive modeling. In parallel of my research, I enjoyed contributing to open-source projects like Skada, Benchopt or MNE.

Previously, I graduated from the engineering school Institut d’Optique Graduate School in signal processing. I also obtained the Master Computational Neurosciences and Neuroengineering at Université Paris Saclay.