Sebastian Feld is an assistant professor at Delft University of Technology, Netherlands. He is part of the Quantum & Computer Engineering department, where he and his group are working on Quantum Machine Learning. The overall goal is to investigate how quantum technology might help creating near-term quantum applications, but also how machine learning techniques may assist with developing scalable quantum devices. Before, he was head of Quantum Applications and Research Laboratory (QAR-Lab) at LMU Munich. His main focus as a postdoctoral researcher was on optimization problems and the application of quantum-assisted artificial intelligence. He earned his doctorate from LMU Munich working on time series analysis.