Daniel studied general Biology at the University of Würzburg. In 2015, he obtained his PhD degree in Biology at the Luxembourg Centre for Systems Biomedicine at the University of Luxembourg for developing and applying novel software tools for analyzing stable isotope labeling metabolomics data. In 2016, he joined the Institute of Computational Biology at Helmholtz Munich to apply dynamical modeling to get a deeper understanding of biochemical signaling networks and cellular metabolism in the context of cancer and neurodegeneration. During these data-based computational modeling projects, Daniel has made significant contributions to the development of tools for scalable simulation of dynamical models and parameter estimation (e.g., AMICI, PEtab, pypesto). In 2024, Daniel joined the Hasenauer Lab at the University of Bonn to continue this work.