I am a cognitive neuroscientist interested in the conscious experience of inner speech and its behavioural, physiological, and neural correlates. In the fundamental part of my research, I am using a combination of experimental and computational methods to evaluate predictions of motor control models applied to inner speech. In the applied dimension of my research, I am using machine learning and deep artificial neural networks to decode the content of both overt and covert speech from electrophysiological data. In parallel, I also work on the development and dissemination of rigorous experimental and statistical methods. Besides, I feel very concerned about the issue of making our research more open, reproducible, and sustainable.