My primary research interests are in the fields of Machine Learning, Computer Vision and Natural Language Processing.

From 2017 to 2020, I did a PhD thesis focused on joint visual and textual learning, specifically on Visual-Semantic Embeddings (VSE).
I was advised by Matthieu Cord, Patrick Pérez and Louis Chevallier.
During this time I worked on multimodal representation learning applied to multiple tasks: cross-modal retrieval, phrase grounding, ranking optimization, known instance search and iterative search.

I am excited about the upcoming research challenges, with a keen interest in exploring self-supervised and reasoning methods to bring multimodal interaction to the next level.