Summary
Catherine Schöfmann is a PhD student in computational neuroscience at Forschungszentrum Jülich and RWTH Aachen, bringing a decade of experience at the nexus of brain-inspired algorithms and neuromorphic hardware. With top honours in computer-software engineering and an MSc with distinction in Advanced Computer Science, she combines rigorous academic training with hands-on systems and software expertise. Her research focuses on translating computational models of neural dynamics into efficient implementations for neuromorphic platforms, bridging theory and low-power hardware design. Based in Aachen, she blends academic rigor with practical engineering instincts developed through international study and multidisciplinary collaboration. An early-career researcher who already navigates both software engineering and neuroscience, she’s comfortable moving between algorithmic modeling, hardware constraints, and reproducible code.
10 years of coding experience
Master of Science - MS, Advanced Computer Science, with distinction, Master of Science - MS, Advanced Computer Science, with distinction at University of Essex
Bachelor of Science - BS, Computer-Softwaretechnik, first class honours, Bachelor of Science - BS, Computer-Softwaretechnik, first class honours at University of Central Lancashire
Matura, Computer-Softwaretechnik, mit ausgezeichnetem Erfolg (first class honours), Matura, Computer-Softwaretechnik, mit ausgezeichnetem Erfolg (first class honours) at HTL Spengergasse
German, English