Josua F. is a highly skilled scientific researcher currently working at Physikalisch-Technische Bundesanstalt (PTB) since October 2021, focusing on neural networks, uncertainty quantification, active learning, and contrast learning using Python with JAX and PyTorch. Prior to PTB, Josua F. served as a data scientist at Sparkassen Rating und Risikosysteme GmbH from May 2020 to September 2021, where responsibilities included macroeconomic stress test modeling for IFRS9 and the development of automation tools in R. Josua F. holds a Doctorate in Physics from Humboldt-Universität zu Berlin, a Master's degree in Physics from The University of Bonn, and a Bachelor's degree in Physics and Philosophy from Ruhr University Bochum.