Corinna Coupette

Corinna Coupette is an Assistant Professor in the Department of Computer Science, specializing in computational legal theory, complex systems, and responsible AI. Her research bridges computer science and law, focusing on how algorithms and networks can model legal systems and address challenges like AI regulation and sustainability. She holds dual PhDs in Computer Science (Dr. rer. nat., Saarland University) and Law (Dr. iur., Bucerius Law School).

Research Interests: Combining code, data, and law to analyze complex systems, computational legal theory, legal systems as computational networks, and ethical AI. Key areas include graph algorithms, legal network analysis, and data-centric machine learning.

Recent Work: Explores hypergraphs for legal data representation, multilayer network libraries (pymnet), and latent representation analysis in machine learning. Her 2024 publications highlight advancements in legal hypergraphs, network-based AI ethics, and algorithmic frameworks for constrained optimization.

Key Contributions: Authored influential papers on legal systems modeling, graph-based AI approaches, and collaborative frameworks in computational legal studies. Leads efforts in open-source software for multilayer networks and interdisciplinary legal-tech solutions.