Philipp has his background in molecular computational biology. He obtained his diploma and PhD in biology from the University of Cologne. During this time, he focused on the prediction of protein structures and their interactions. After this, he joined the European Molecular Biology Laboratory (EMBL) in Hamburg, to work on a software called ARP/wARP for building macromolecular models into electron density maps. In 2018 Philipp joined DESY in the context of the Helmholtz Analytics Framework HAF, where he deepened his knowledge in deep learning for image analysis.
Today Philipp is coordinating the Helmholtz Imaging Support Team at DESY. Together with his team he offers support and services to the Helmholtz Imaging Community.
The most prominent services offered are the Helmholtz Imaging Modalities and Helmholtz Imaging Storage. The support team also works on requests submitted to the HelpDesk, is involved in collaborations, and directly supports Helmholtz Imaging Projects.
Beyond that, Philipp is actively involved in collaborative projects with partners from the DESY campus and from the Helmholtz Association developing deep learning tools and pipelines for the semantic and instance segmentation of synchrotron micro CT data, and for the automatisation of cryo electron tomography image processing.