معرفی
Gelareh Naseri is a Post-Doctoral Associate at the Center for Data Science (CDS) at New York University, collaborating with Professor Yann LeCun. Her research bridges deep learning and music/audio generation, focusing on self-supervised representation learning via Joint Embedding Predictive Architectures (JEPA).
- Ph.D. in Music Composition, University of California, Riverside
- Master’s in Music Composition, University of Art, Iran
- Bachelor’s in Computer Engineering, Shahid Beheshti University, Iran
Her research spans deep learning, self-supervised learning, and music representation learning, with applications in audio synthesis and machine learning. She works within the CDS lab at NYU, contributing to advanced AI research in music contexts.
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