RESEARCH
Theoretical and methodological research at the intersection of Optimal Transport, machine learning, and data-driven science, with particular emphasis on domain adaptation and applications to genetics and the life sciences.
Developing mathematical and computational tools for comparing probability distributions. A geometric framework for modeling, computation, and theoretical guarantees.
Designing methods that remain effective under distribution shifts between related domains. Optimal Transport provides a principled way to compare and align them.
Making better use of limited supervision and uncovering structure in unlabeled data. Optimal Transport helps relate, organize, and align data in a structured and meaningful way.
Addressing complex and heterogeneous data in genetics and the life sciences. Optimal Transport offers a flexible framework for modeling biological variability and structure.
Fondée à Fès en 859, l’Université Al Quaraouiyine est la plus ancienne université encore en activité au monde.
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