M.Sc. Human-Centred AI @ University of Regensburg Β· Co-Founder @ URAI
I'm currently studying Human-Centred AI at the University of Regensburg after completing a combinatory bachelor's degree in Media Informatics and Information Science.
What I enjoy most about the field is the combination of technical depth and human perspective. I like working on machine learning, NLP / information retrieval, and computer vision, but I care just as much about whether the resulting systems are understandable, useful, and well designed for the people who use them.
At the moment, most of my hands-on work sits around applied AI/ML, language technology, and practical experimentation β from training and evaluating models to building demos and prototypes around them. If you're curious, feel free to check out my Hugging Face profile for some of the models and datasets I've worked on.
In the Human-Centred AI master's, I'm studying at the intersection of AI, data science, human-computer interaction, and psychology. So far, that has included courses such as Introduction to Human-Centred AI, Advanced Explainable AI, Optimization, and AI Ethics. One of the things I like most about the programme is that it does not reduce AI to model performance alone; it also asks how intelligent systems are designed, tested, explained, and experienced in practice.
Before that, I completed a combinatory B.A. in Media Informatics and Information Science. On the Media Informatics side, my studies started with programming fundamentals, object-oriented programming, algorithms and data structures, databases, mathematics, and software development, and later moved into HCI, usability engineering, multimedia technology, and applied media computing. On the Information Science side, Regensburg's profile is strongly shaped by information retrieval, natural language processing, interactive information systems, and knowledge-oriented thinking. That combination is a big reason why I ended up in Human-Centred AI in the first place: it gave me both a practical software foundation and an early feel for language technology and AI-related problems.
ML / AI ecosystem
Software engineering / infrastructure
I'm always happy to connect β whether it's about AI/ML, NLP and information retrieval, computer vision, student projects, or just an interesting idea worth talking about.
