Summary
Christoph Lange-bever is a director and data infrastructure expert with 18 years’ experience building semantic interoperability, FAIR data practices, and knowledge engineering capabilities across research and industry. He leads Data Science and AI efforts at Fraunhofer FIT and coordinates contributions to their Generative AI Lab, combining hands-on technical leadership with a long track record of applying linked data, knowledge graphs, and distributed analytics to manufacturing, mobility and research data. Christoph’s background spans academia and applied research—PhD-trained in computer science and experienced supervising PhD students—enabling him to translate formal knowledge representation into practical pipelines that validate assumptions, reveal hidden relationships, and improve reproducible publication. A creative networker and event organizer, he cultivates cross-sector collaborations across Germany and the EU, and notably contributed to standardization work like the Distributed Ontology Language (DOL). He prefers to connect with people he has met through direct collaboration or other real-life/online channels, reflecting a pragmatic, trust-oriented approach to professional networks.
18 years of coding experience
6 years of employment as a software developer
Diplom (like M.Sc.), Computer Science, Diplom (like M.Sc.), Computer Science at Universität Trier
High School Diploma, High School Diploma at Cusanus-Gymnasium Wittlich
Ph.D., Computer Science, Ph.D., Computer Science at Jacobs University Bremen
English, German, French, Luxembourgish