In our first edition, we talked with Renato Profeta, one of our audio engineers. With a background in electrical engineering and a diverse range of industry experience, from working as a control systems engineer in the mining sector to developing software for home automation, Renato brings a unique, multidisciplinary lens to his work. He shares his thoughts on the future of immersive audio and what excites him most about machine learning.
What first sparked your interest in audio signal processing and machine learning, coming from an electrical engineering background?
Before I ever stepped into engineering, I was a musician, playing gigs several times a week in small pubs and clubs. Later, while studying sound engineering at the SAE Institute Liverpool, I gained hands-on experience in recording studios and worked on a radio show at BBC Merseyside.
One thing led to another, and I found myself drawn toward a more technical path, eventually pursuing a career in engineering with a focus on audio signal processing and music technology. Machine learning came into the picture much later, during my PhD studies at TU Ilmenau, when it was still a niche topic in academia, full of potential and exciting possibilities.





