Christoph Schommer
Prof. Dr. Christoph Schommer
Email: christoph.schommer @ uni.lu
Phone: +352 466644-5228
Research Interests
Artificial Intelligence, Data Science, Applications of Machine Learning, Knowledge Discovery, Natural Language Processing.
Curriculum Vitae, narrative
Prof. Schommer studied Computer Science with a focus on Artificial Intelligence at DFKI Saarbrücken and the University of Saarbrücken. He then completed his PhD studies during his time at the IBM R&D Centre (Business Intelligence) and defended his dissertation at the end of 2000 at Goethe University Frankfurt/Main, Germany, in the field of medical informatics. He has been working in research and teaching at the University of Luxembourg since October 2003.
His interests in teaching and research lie in interdisciplinarity in the context of AI. To date, he has contributed to more than 45 doctoral theses, 15 of which as a supervisor, and several more at UC London and universities in Bologna, Berlin and Turin. In addition, he has supervised around 100 master's theses and bachelor's theses, respectively.
Prof. Schommer teaches in at universities (AI, Data Science) and schools (Girls Days, Chercheurs a l'école) in Luxembourg and abroad. So far, he has given more than 180 courses at the University of Luxembourg (mostly: computer science, but also in Mathematics, Finance, and (as an integrative part) in Philosophy and Medicine) and in Berlin, Potsdam, Tsinghua/Beijing and Singapore. Other teaching engagements were/are in Seville, Spain, and Linz, Austria.
Prof. Schommer is a sought-after expert on AI in the press, radio, television, companies, ministries and institutes. He currently heads the AI4Education focus area at the faculty and is a scientific member of the Centre for Digital Ethics (ULIDE) at the University of Luxembourg.
Prof. Schommer is the founder of AICafé, a scientific interface for AI and society that has been held annually since 2023 and aims to promote dialogue with citizens through debates. In this context, he also organises AI competitions to strengthen entrepreneurship and motivate young people to develop their own ideas.
Prof. Schommer has published more than 120 scientific articles. He is a scientific reviewer for the Dutch Research Council, the German Research Foundation (DFG), Elsevier, Leibniz, Springer, IEEE and others, and has been a scientific reviewer for more than 100 conferences such as IJCAI, AAMAS, ACM, CogSci and ECML, to name but a few.
Prof. Schommer is a consultant on numerous projects, for example with local institutes (e.g. C2DH, LIST, Script) and with industry (e.g. Thomson Reuters, RTL, CISCO, GoodYear and others). He was co-leader of projects within the Esch22/AI&Art Pavilion and the AI Robolab at the University of Luxembourg.
Together with the members of his research group, he works as part of an AI ecosystem at the intersection of AI and data science. He is particularly interested in applications of Artificial Intelligence in a multidisciplinary context. Examples include natural language processing such as automatic text summarisation, text extraction processes, chatbot systems designed to stimulate communication between human communication partners, speech recognition, the use of generative AI for storytelling, and more theoretical aspects such as fairness in the context of EU AI Act and ethical considerations.
Prof. Schommer works closely with the C2DH (e.g. as part of the FNR project PRIDE: Deep Data Science for a Digital History), the Faculty of Humanities, Education and Social Sciences (Collaboration21 project, ULIDE) and industry partners such as LIST. He is co-director of the AI RoboLab of the University of Luxembourg.
Community and Networks
RESEARCH GROUP -> https://www.uni.lu/fstm-en/research-groups/knowledge-discovery-and-mining/