SCIENCE | MUSIC

I am inspired by music technology both from engineering and artistic points of view. In particular, I am interested in how it can help us develop novel ways of interacting with music, providing tools, contexts, and insights that enrich music appreciation and music creation.

After persuing my Ph.D. I continued as a senior researcher and software developer at the Music Technology Group of Pompeu Fabra University in Barcelona, Spain. I work on audio analysis and semantic annotation of large-scale music and sound collections using signal processing and machine learning techniques.

I am the lead developer of Essentia, an open-source C++/Python library for audio analysis and audio-based music information retrieval. My work includes design and implementation of new audio analysis algorithms, management, and documentation of the project.

I am also one of the coordinators of AcousticBrainz, an open database of music features extracted from audio, bridging the gap between audio analysis technology and the wider open music metadata community.

I serve as a supervisor in various R&D projects held by Music Technology Group in collaboration with industrial partners.

See more about my work at https://dbogdanov.com/about/