Sepideh Mamooler

Sepideh Mamooler is a Researcher at the Natural Language Processing (NLP) Department of the School of Computer and Communication Sciences at École Polytechnique Fédérale de Lausanne (EPFL). She is also affiliated with the Unité du Prof. Alexander Mathis (UPAMATHIS) in the School of Life Sciences. Her research focuses on advancing Natural Language Processing (NLP), Machine Learning, and AI applications in educational and legal domains. She holds a status as both a doctoral student in the Doctoral School of Computer and Communications (EDIC) and a research assistant in multiple labs.

Her work explores topics such as benchmarking visual narratives, low-resource NLP techniques, AI impacts on higher education, and legal text classification. She is actively involved in cross-disciplinary projects at the intersection of computer science, education, and law. Key contributions include the Vinabench benchmark and the PICLe framework for named entity detection.

No scientific awards have been explicitly mentioned in the records. She collaborates with Prof. Alexander Mathis' team and contributes to the NLP lab's initiatives. Her current research emphasizes practical AI solutions for real-world challenges in education and legal informatics.