Scientific Advisory Board

Research areas | NLP, Computational Social Science, XAI

Stephanie Brandl is an Assistant Professor at the Center for Social Data Science, University of Copenhagen, specializing in Natural Language Processing. Her research focuses on human-centered explainability in NLP and politicalNLP, i.e., the intersection of Political Science with NLP. Stephanie has contributed to numerous publications and collaborations in the field of Natural Language Processing.

Research Areas | LLM in medicine, AI applications in Radiology

Keno is a German board-certified radiologist and clinician scientist at TU Munich, School of Medicine and Health. His research focuses on natural language processing and computer vision for medical data. Keno graduated from Charité University Medical School, Berlin, in 2016, where he also earned his MD („Dr. med.“) and a university teaching qualification („Privatdozent“). After spending one year at the AI in Medicine Program at Harvard Medical School, he joined the Department of Radiology at TU Munich, German Heart Center, as Oberarzt for cardiovascular radiology. Since 2025, he has been a clinician scientist funded by the Else Kröner Excellence Fellowship (Exzellenzstipendium).

Research areas | Data Quality, Data Cleaning, Machine Learning in Data Bases

Ziawasch Abedjan is a full professor of computer science and chair of the Data Integration and Data Preparation Group at Technische Universität Berlin and the BIFOLD center of excellence. His research focuses on developing scalable, machine learning-based techniques for data integration, cleaning, and preparation. Abedjan is recognized for his contributions to data science, analytics, and databases, with numerous influential publications and collaborations in the field.