Sebastian Stober is Professor for Artificial Intelligence at the Otto-von-Guericke-University Magdeburg. He studied computer science with focus on intelligent systems and a minor in mathematics in Magdeburg until 2005 and received his PhD with distinction on the topic of adaptive methods for user-centered organization of music collections in 2011. From 2013 to 2015, he was postdoctoral fellow at the Brain and Mind Institute in London, Ontario where he pioneered deep learning techniques for studying brain activity during music perception and imagination. Afterwards, he was head of the Machine Learning in Cognitive Science Lab at the University of Potsdam, before returning to Magdeburg in 2018. Sine 2016, he has developed a comprehensive curriculum of courses on deep learning using an innovative teaching format that has been awarded with the 2017 University of Potsdam eLearning Award and a grant from the German Federal Ministry of Education and Research (BMBF). In his current research, he bridges the topics artificial intelligence and machine learning with neuroscience and music information retrieval. Furthermore, he is founding member of the International Society for Music Information Retrieval (ISMIR) and co-organizer for several international workshops on Learning Semantics of Audio Signals (LSAS) and Adaptive Multimedia Retrieval (AMR) as well as the monthly Berlin Music Information Retrieval Meetup. As “insAIght coach”, he further supports companies and start-ups to leverage the potential of deep learning and artificial intelligence.