I am a PhD candidate at EPFL under the supervision of Prof. Pascal Frossard. My research focuses on learning interpretable, meaningful causal mechanisms from data to achieve transparent, trustworthy AI. I have developed models such as CASTOR and FANTOM for uncovering causal graphs in non-stationary temporal data. Prior to joining EPFL, I studied my master’s degree at ENS Paris-Saclay (Mathematiques, Vision et Apprentissage: MVA), where I explored various aspects of AI and statistics. I also interned at Deezer Research, working on cross domain recommendation.