Oliver La Rosa’s music and research explores the concept of musical instrument in electronic and computer music, designing instruments that listen, understand, remember and respond. His open source Silent Drum and MANO controllers use computer vision techniques to continuously track and classify hand gestures. His most recent research [notes] explores computer assisted notation and generative music in Pure Data and LilyPond.
His work has been featured in many international festivals and conferences, collaborating with several composers, improvisers and artists in a field of action that spans sound performance and installation, composing and performing music, and programming open source software. Some recognitions include scholarships and grants from the Fulbright Commission, the University of California, Meet the Composer and the Ministry of Culture of Spain, and composition and research residencies at ZKM and IRCAM. He obtained the 1st prize in FILE PRIX LUX 2010, a GIGA-HERTZ-PREIS 2010 special prize from ZKM and the 1st prize in the 2009 Guthman Competition from the Georgia Tech Center for Music Technology.
Oliver is Assistant Professor of Composition at NYU and co-director of the NYU Waverly Labs for Computing and Music. He obtained a PhD in Computer Music from the University of California, San Diego (2011) where he studied with Miller Puckette and was Mellon Post-Doctoral Fellow at Columbia University & the CMC in New York.