About me

I'm currently a PhD student at ENS Paris-Saclay, in the Centre Borelli's Machine Learning and Massive Data Analysis (MLMDA) team, in collaboration with EDF Lab's consumption forecasting team, under the supervision of Argyris Kalogeratos, Mathilde Mougeot and Yvenn Amara-Ouali. My work involves testing new methods for forecasting electricity consumption and production for power grid management, using graph-based neural networks. In particular, I'm interested in developing temporal and dynamic graph models that can be explained in the same way as generalized additive models. Prior to this, I graduated from Télécom SudParis with a specialization in mathematics, as well as from the Master MVA program at the ENS Paris-Saclay, in 2023. I was able to spend a semester in the Netherlands at the University of Twente as part of the Erasmus program in 2022, where I was able to learn more about Machine Learning.