
Ph.D. candidate in Bioingegneria E Scienze Medico-chirurgiche , 40th cycle (2024-2027)
Department of Energy (DENERG)
Profile
PhD
Research topic
The research aims to assess hearing and cognition in impaired subjects via ML-based tests and realistic dialogues in immersive audio scenes at the University of Torino's spatial audio lab.
Tutors
- Arianna Astolfi
- Andrea Canale
Research interests
Biography
I earned both my Bachelor's and Master's degrees in Computer Science from the University of Torino, graduating with excellent results. In parallel, I obtained a Bachelor's degree in Electronic Music with a compositional focus from the METS in Cuneo, where I deepened my knowledge of audio synthesis, digital sound processing, and algorithmic composition. I have always nurtured a strong interest in mathematics and physics, which I have also taught privately to high school and university students.
Over the years, I have developed advanced programming skills, with a particular focus on digital audio and the integration of computer science with musical instruments. I work with environments such as SuperCollider and MaxMSP for sound synthesis and manipulation, as well as various programming languages in more traditional domains.
I have worked as a computer science teacher in various schools and training institutes, and as a research fellow at the Politecnico di Torino, where I began exploring immersive spatial audio environments for studying the hearing and cognitive abilities of hearing-impaired individuals. I am a flexible and curious person, strongly motivated by the opportunity to build bridges between different disciplines.