Christine Zeh is a Research Assistant working in collaboration with CERN. She obtained her Master’s degree in Technical Mathematics with a focus on Complex Adaptive Systems from the Technical University of Vienna. During her studies, she worked as a Software Engineer, an Applied Researcher in industrial robotics, and as a research intern at CERN. Her current research focuses on topological deep learning and its application to event reconstruction at CERN.