Federico Visi (he/they) is a researcher, composer and performer based in Berlin, Germany. His work explores the interplay between human and non-human agencies in music, embodiment in networked music performance, and interactive machine learning. He has recently designed a networkable feedback string instrument with embedded machine learning called the Sophtar. At the Intelligent Instruments Lab, Iceland, he has worked on extending the Sophtar with actuators and machine learning models to make it respond to human and non-human players in ways that are not easy to predict yet meaningful and inspiring. He's interested in the broader artistic and societal implications of curating personal datasets for training models.

Under the moniker AQAXA, he released an EP in which they combine conventional electronic music production techniques with the exploration of personal sonic memories by means of body movement and machine learning algorithms. He has worked at several international research labs and he is a member of the TCP/Indeterminate Place networked hyperorgan quartet.