Théo USCIDDA


Théo USCIDDA
CREST PhD Student
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Optimal Transport, Generative Modeling, Representational Learning

Education: I am a Ph.D. student in machine learning working with Marco Cuturi (Apple MLR & CREST - ENSAE). Prior to that, I completed a master degree at ENS Paris-Saclay in mathematics, vision and learning, working with Claire Boyer, Julie Josse and Boris Muzellec. Moreover, I hold a bachelor degree form Télécom Paris, Institut Polytechnique de Paris.

Research: I work on the interplay between optimal transport (OT), generative modeling, and representational learning. Broadly speaking, I am committed to demonstrating how OT can be instrumental in various machine learning contexts. For instance, I have recently developed a keen interest in applying OT to solve challenges arising in single-cell biology.