COMPOSERS & RECORDINGS
Michele Masin is an Italian composer, musician, and score mixer from Montebelluna, Italy, renowned for his work in film music and as head of Antarctica Remote Studio (ATC). With over 20 major productions to his credit—including music for films like Midsommar, 1917, and Queen & Slim. Masin creates soundtracks using advanced sound design technologies and both classic and modern recording systems. He collaborates with top entertainment companies such as Netflix, Amazon Prime Video, Universal, and Paramount+, and is celebrated for his expressive, cinematic scores that blend deep emotional resonance with technical excellence. A summa cum laude graduate of Venice Conservatory of Music, Masin’s distinctive style is marked by his meticulous approach, blending old-school gear with innovative techniques, and always ensuring the music serves as a powerful narrative element within every project.
Federico Motta is an Italian cellist and music educator based in Treviso, known for his experimental approach and exploration of contemporary soundscapes. Active on the concert scene, he incorporates unconventional techniques and collaborates across genres, continually pushing creative boundaries in Italian and international contexts.
SOUND DEPARTMENT
Dasha Sednivets is a sound designer experienced in film, advertising, games, and animation, known for crafting multilayered soundscapes tailored to each genre’s unique requirements. Prioritizing the director’s vision, she uses sound as a creative extension to enrich and expand storytelling, always balancing aesthetics, concept, professionalism, and imagination in her approach. Sednivets is recognized for her sharp perception, willingness to experiment, and ability to adapt techniques for impactful audio experiences. Her work reflects a commitment to innovation, collaboration, and elevating every project through a nuanced auditory perspective.
Eric Guizzo is an Italian sound engineer and AI researcher based in Rome, serving as a Research Fellow at Sapienza University of Rome with a Ph.D. from City, University of London. He specializes in 3D audio signal processing and machine learning applications in sound engineering, pioneering the L3DAS (Learning 3D Audio Sources) project that advances spatial audio technologies through AI. His engineering style combines data-driven methodology with multidisciplinary innovation, bridging traditional audio processing with cutting-edge neural networks for speech emotion recognition and spatial sound processing. With over 217 academic citations, Guizzo has established himself as a leading figure in audio-applied machine learning, developing real-world datasets and tools that integrate theoretical research with practical audio production applications.