I am a quantum information scientist with a background in quantum condensed matter theory. Currently I am holding a position as group head of the Quantum Compilation Group at the Fraunhofer Institute for Integrated Circuits (IIS) in Nürnberg, Germany within the Department for Machine Intelligence. My research interests lie in field of quantum information theory and quantum computing.In short, the quantum computing research of our group focuses on leveraging methods from machine learning to make quantum computers better. We develop efficient and scalable quantum middleware solutions centered around the compilation layer of the quantum computing technology stack. We focus on circuit optimization, parallelized and distributed quantum computing via e.g. circuit cutting and low-overhead quantum error correction. For more details, please check out https://www.iis.fraunhofer.de/de/ff/lv/dataanalytics/quantum-machine-learning.html. An almost complete list of my preprints with links to publications can be found here: https://arxiv.org/a/scherer_d_2.html.I have further worked in the fields of optimization, optimal control and reinforcement learning. As a trained condensed matter theorist, I maintain a keen interest in quantum technologies in general and the theoretical modelling and quantum engineering for quantum hardware in particular.My previous research includes e.g. modelling of neutron scattering experiments in correlated electron systems, quantum-many body calculations for spin excitations in iron-based superconductors, spin-fluctuation induced high-temperature superconductivity, application of functional renormalization group methods to low-dimensional correlated fermion systems, geometry of quantum state space, ...