Michele Mancusi

Michele Mancusi is a Senior Research Scientist at Sony and holds a Ph.D. in Computer Science from Sapienza University of Rome, where he remains affiliated with the GLADIA research group under Prof. Emanuele Rodolà. He earned dual degrees in Physics (Quantum Information) from Sapienza, blending computational and theoretical expertise. His research focuses on deep learning applications in audio signal processing, including source separation techniques for music and ecological monitoring. Notable contributions include data-driven methods for marine biodiversity assessment via fish vocalization analysis and innovations in diffusion models for high-resolution audio generation. His work bridges academia and industry, with publications in top venues like ISMIR, ICASSP, and ICLR.

Research interests emphasize generative models (autoregressive/diffusion), music technology, and interdisciplinary applications in environmental science. Recent efforts explore coherence-oriented audio representation learning (COCOLA) and inference-time optimizations for music mastering processors (ITO-Master).

Publications reflect a trend toward real-world impact, such as accelerating transformer-based translation systems and developing latent diffusion techniques for timbre transfer. Collaborations include cross-disciplinary projects with marine biologists to advance biodiversity tracking through passive acoustic monitoring.