Oriol Nieto

Oriol Uri Nieto

Ph.D. Alumnus 2015

Group: Music Informatics, Music Cognition

Email: oriol@nyu.edu

Personal Website


Oriol (Uri) Nieto (Barcelona, 1983) is a computer scientist and adjunct teacher that defended his Ph.D Dissertation in the Music and Audio Research Lab (MARL) at NYU. The title of his Dissertation is "Discovering Structure in Music: Automatic Approaches and Perceptual Evaluations", and was supervised by Professors Morwaread Farbood and Juan Pablo Bello. His work bridges the worlds of Music Cognition and Music Information Retrieval focusing on music structure analysis tasks. He employs both machine learning techniques and cognitive principles to improve the way computers understand structure in music. He holds an M.A. in Music, Science and Technology from the Center for Computer Research in Music and Acoustics (CCRMA) at Stanford University (CA, USA), an M.S. in Information Theories from the Music Technology Group (MTG) at Pompeu Fabra University (Barcelona), and a Bachelor's degree in Computer Science from the Polytechnic University of Catalonia (Barcelona). Oriol plays the guitar, the violin, and sings (and screams) in his spare time.