Oberlunar is part of the AI-ISIA – University of Florence (Italy) scientific committee. From this year he is responsible of the scientific committee of the AI-ISIA – University of Florence regarding the field of artificial intelligence and music. The scientific committee pays particular attention to everything concerning theoretical/technological innovation in the world of artificial intelligence and generative musical composition based on multicomponent and multimodal musical features.

I am available to follow both master and PhD students regarding deep learning methodologies for generative music composition. In particular, advanced Python experience is required with specific skills on the Keras backend TensorFlow, Music21, scikit-learn, etc…