Regina Stodden studied Educational Science & Computational Linguistics (B.A.) at University Bielefeld and Information Science & Language Technology (M.A.) at Heinrich Heine University Düsseldorf. In 2019, she joined the computational linguistics department at Heinrich Heine University Düsseldorf as a doctoral student and research assistant. There, she obtained a PhD in Computational Linguistics in 2024 with the title "Automatic German Text Simplification: Data, Evaluation, and Models" under the supervision of Prof. Laura Kallmeyer. During this time, she was mainly working on creating datasets, evaluation frameworks, and models for automatic text simplification, but she also worked on topics like argument mining or NLP for online deliberation.
She joined the Semantic Computing group in February 2025 as a postdoctoral researcher and she is currently interested in natural language generation, its (explainable) evaluation, and a connection between knowledge-bases and NLP. Furthermore, she is open to suggestions regarding interdisciplinary research that are somehow related to NLP.
Dr. Regina Stodden