معرفی
Dr.-Ing. Lisa Raithel is a Researcher at the Technical University of Berlin (TU Berlin) and a visiting scientist in the Speech & Language Technology team at DFKI. She holds a PhD from TU Berlin and Université Paris-Saclay (cotutelle), where her thesis focused on cross-linguistic information extraction for adverse drug reaction detection. Her academic journey includes studies in computational linguistics (B.Sc., University of Potsdam) and cognitive systems (M.Sc., specializing in deep learning for NLP).
- Current roles: Research Associate at TU Berlin/BIFOLD and Visiting Scientist at DFKI.
- Key experiences: Software engineering at Giance/Unicepta, research stints at LISN (France) and NAIST (Japan).
Research Interests: Biomedical NLP from a patient perspective, cross-linguistic modeling, data anonymization, and robustness evaluation of medical language models. Her work emphasizes practical applications in healthcare, including synthetic data generation and clinical text analysis.
Projects: Leading the BIFOLD AP 24B and VERANDA initiatives, previously involved in KEEPHA. Supervises bachelor's/master's theses on NLP for clinical texts, information extraction, and language model robustness.
Labs/Teams: Active in BIFOLD (Berlin Institute for the Foundations of Learning and Data) and DFKI's Speech & Language Technology group.
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