Sander Dieleman is a research scientist at DeepMind in London, UK, where he has worked on the AlphaGo and WaveNet projects. His research interests include generative modelling and representation learning in the audio and visual domains, with a particular focus on music, as well as recommender systems and equivariance in neural networks. He obtained his Ph.D. in Computer Science from Ghent University in 2016, working on feature learning and deep learning techniques for learning hierarchical representations of musical audio signals.