1. Paper 'Simulating Early Phonetic and Word Learning Without Linguistic Categories' published in Developmental Science, 2025.
2. Paper 'Modeling the initial state of early phonetic learning in infants' published in Language Development Research, 2024.
3. Paper 'Decode, move and speak! Self-supervised learning of speech units, gestures, and sound relationships using vocal imitation' published in Computational Linguistics, 2024.
4. Paper 'Modeling early phonetic acquisition from child-centered audio data' published in Cognition, 2024.
Research Experience
Currently a Simons postdoctoral fellow at the Computational Psycholinguistics lab, MIT, under the supervision of Roger Levy and Elika Bergelson. Formerly, worked at Meta AI, LSCP (Paris, France), and GIPSA (Grenoble, France).
Education
Ph.D. from GIPSA, Grenoble, France, defended in September 2023.
Background
Research Interests: Intersection of Artificial Intelligence and Cognitive Sciences. Research focuses on language development in infants and machines, particularly developing and democratizing artificial neural networks for automatic analysis of children's language environment and linguistic production (supervised learning), and running human-inspired computer simulations to build more efficient algorithms and identify mechanisms driving language acquisition in infants (unsupervised/self-supervised learning). Field: Computational Psycholinguistics.