Philippe Esling received a PhD in Data Mining and Machine Learning and worked as a postdoctoral fellow on metagenomics and next-generation genetic sequencing. Currently, he is a professor at Sorbonne University and the IRCAM institute in the Sound Analysis / Synthesis team, where is a principal investigator on machine learning applied to music generation, and directs the recently created Artificial Creative Intelligence and Data Science (ACIDS) group at IRCAM. He devised several first-of-kind and cutting-edge technologies based on deep probabilistic machine learning applied to musical audio generation. These include the Neurorack (first embedded deep AI in Eurorack format), FlowSynth (a device for audio synthesizer control based on normalizing flows) and RAVE (a real-time deep audio transfer model, working at 48kHz and realtime on a CPU). His recent collaborations with his team and the composer Alexander Schubert were awarded the Golden Nica prize at the Ars Electronica 2022 festival.