I manage Pandora data science research team in Europe. We work on Machine Learning, Music Information Retrieval, Recommender Systems, and Natural Language Processing, and apply our research to personalized music recommendation.
My main research interests are in Data Science and Music Information Retrieval. I have published over 90 papers in peer-reviewed international journals and conferences (h-index: 31).
I enjoy giving back to the community, by e.g. communicating about music tech research, talking in academic, industry or music events, organizing events, and participating in scientific communities (e.g. I was president-elect and then president of the International Society for Music Information Retrieval between 2014-2017).
Before joining Pandora, I received a PhD in Computer Science from the Pompeu Fabra University in Barcelona (2005) and was a co-founder of Barcelona Music and Audio Technologies (BMAT), did a Post-doc in the Austrian Research Institute for Artificial Intelligence in Vienna (2005-2007), and then started and led the Sound and Music Computing Group at INESC TEC in Porto during 7 years (2007-2014), while teaching at the undergrad and graduate level at the University of Porto.