The advancements in machine learning and, in particular, the recent breakthrough of artificial neural networks, has promoted novel art practices in which computers play a fundamental role to support & enhance human creativity. Alongside other arts, music and dance have also benefited from the development of machine learning and artificial intelligence to support creativity, for tasks ranging from music generation to augmented dance. This talk will present an overview of my research, focused on the intersection of artistic creation and performance, mathematical modelling, machine learning and human-computer interaction – and on their entwined co-evolution.