Master's student in Electrical Engineering, Information Technology and Computer Engineering with a focus on Automation and Systems. I am interested in information technology, information theory, communication engineering and data science. Through the bachelor thesis I came into the field of distributed machine learning security (federated learning, split learning, P2P learning, etc.); mainly considering application areas of medical real-time systems in therapy and diagnosis assistance, but also communication networks and mass electronics at the Chair of Information Theory and Data Analytics at RWTH Aachen University under the supervision of Prof. Dr.-Ing. Anke Schmeink. Furthermore, I am interested in science communication; because the best and most advanced technology is of no use if it does not find acceptance among its potential users. I am involved in EESTEC LC Aachen (Electrical Engineering STudents' European assoCiation) for the national and international exchange with students of different disciplines through various events for members as well as the public. Thereby, the exchange with others as well as the personal development through networking events, hard- and soft-skill trainings or the organization of these are in the foreground.As part of the Pre-Student Program RWTH-Insider of the central student advisory services of the RWTH Aachen University, I try to give future students an understanding of the studies that await them and thus contribute to an individually suitable choice of studies. My drive is to be challenged again and again, to dive into new topics and application areas with passion and to get in touch with people. I achieve the greatest success in a strong and diverse team, which thus always enables new perspectives on the given challenges.