Oriol Nieto, born in Barcelona in 1983, is a data scientist at Pandora. He obtained his Ph.D in Music Data Science from the Music and Audio Research Lab at NYU (New York, NY, USA) in 2015. He holds an M.A. in Music, Science and Technology from Stanford University (Stanford, CA, USA), an M.Sc in Information Technologies from Pompeu Fabra University (Barcelona, Spain), and a B.Sc. in Computer Science from Polytechnic University of Catalonia (Barcelona, Spain). His research focuses on topics such as music information retrieval, large scale recommendation systems, and machine learning with especial emphasis on deep architectures. He plays guitar, violin, and sings (and screams) in his spare time.