Kristof Meding

Group Leader

Kristof holds a Bachelor’s degree in Physics and a Master’s degree in Neural Information Processing. He completed his Ph.D and postdoc in machine learning in the labs of Felix Wichmann (University of Tübingen) and Bernhard Schölkopf (Max Planck Institute for Intelligent Systems). Following his academic training, he worked for the Data Protection Authority in Baden-Württemberg. In 2025, Kristof was a visiting assistant professor at the University of Eindhoven.

In addition to his expertise in amachine learning, Kristof also holds a Bachelor’s degree in Law and passed the First German State Examination. Through his studies, he developed a deep interest in the intersection of machine learning and law. Currently, Kristof is the Group Leader of the Computational Law Lab at the CZS Institute for Artificial Intelligence.

He is a full member of the Cluster of Excellence “Machine Learning for Science” and a Management Board member of the Computational Law section in the German Informatics Society. Kristof is also a faculty member of the International Max Planck Research School for Intelligent Systems. At the invitation of the EU Commission and the EU AI Office, Kristof contributed to the drafting of the first GPAI Code of Practice for 2024–2025 and is contributing to the drafting of the first Code of Practice on transparency of AI-generated content for 2025–2026.

Michelle Acevedo Callejas

PhD Student

Since January 2026, I have been a PhD student at the Computational Law Lab under the supervision of Kristof Meding. Artificial Intelligence and Machine Learning are increasingly integrated into the economy and daily life. It is crucial to understand how these systems impact the well-being of different groups and to align technical innovation with legislation grounded in societal goals and ethical principles. My research at the lab focuses on defining criteria for evaluating the robustness and fairness of machine learning models within the context of the European AI Act and evolving international legislation. I have several years of previous experience in psychology and public health research, as well as clinical data science and analysis.

Mara Seyfert

PhD Student

Since January 2025, I have been a PhD student at the Computational Law Lab under the supervision of Kristof Meding and Ulrike von Luxburg. I am interested in the practical challenges that come with with AI legislation, such as the successful translation of legal requirements into ML evaluation.

Bachelor’s and Master’s Students