معرفی
Marlene Lutz is a Researcher at the Chair of Data Science in the Economic and Social Sciences within the Business School at the University of Mannheim, Germany. She works under the supervision of Prof. Dr. Strohmaier and has been active in academic research since 2018. Her contact details include room 323 on the 3rd floor at L 15, 1–6, 68161 Mannheim, and her email: marlene.lutz@uni-mannheim.de. Her research focuses on responsible AI, fairness in algorithmic systems, and interpretability in natural language processing.
- M.Sc. Computer Science, RWTH Aachen University (2018–2021)
- Foreign Studies, Seoul National University, South Korea (2020)
- B.Sc. Computer Science, RWTH Aachen University (2014–2018)
Her research interests span several critical areas in modern data science, including language model compression for resource efficiency, bias mitigation techniques in NLP systems, and the development of fair algorithmic ranking frameworks. She also specializes in interpretable word embeddings that enhance transparency in language models, aligning with the broader goals of responsible AI and ethical computational methods.
Marlene has contributed to publications in both computational social science and health informatics domains. Her 2025 paper on group fairness measures for rankings demonstrates her focus on fairness evaluation metrics, while her 2022 work on clinical guideline visualization showcases interdisciplinary applications of data science.
She has taught multiple Master's level courses at the University of Mannheim since 2022, including Text Analytics, Network Science, and Data Science seminars. These courses emphasize practical implementation of computational methods in information systems and social computing contexts.
