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About me

I am currently a Reseacher at Microsoft Research Cambridge. Before joining Microsoft Research, I was a Research Scientist Intern at Meta AI Paris. I defended my PhD in April 2023 at CREST - ENSAE, Institut Polytechnique de Paris where I worked under the supervision of Marco Cuturi.

Research Interests

I have a keen interest in foundation models, specifically focusing on how foundation models can articulate their understanding of the observable world by incorporating causality.

Throughout my doctoral studies, my primary focus revolved around applying optimal transport to tackle large-scale challenges in Machine Learning. I also delved into its close connections with diverse applications within the machine learning domain, including areas like adversarial robustness, fair division, and the modeling of recent architectures like triangular flows and transformers.