Christoph Lange is the head of the Data Science and Artificial Intelligence department at the Fraunhofer Institute for Applied Information Technology FIT and a senior researcher on Information Systems at RWTH Aachen University, Germany. He has been working with Fraunhofer since 2014, with RWTH since 2019. In 2011, he received a PhD in computer science from Jacobs University Bremen, Germany. His research is concerned with knowledge engineering and data infrastructures: choosing the right formalism to represent domain knowledge in an expressive but scalable way following the Linked (Open) Data and FAIR Principles (findable, accessible, interoperable, reusable, or “fully AI ready”). This enables and facilitates machine support with sharing, retrieval, analysis, quality assessment, publishing, collaborative authoring, etc. Results have been published in international journals and conferences (h-index 38 according to Google Scholar). Applications range from information integration within enterprises to research infrastructures to cross-organization data spaces. These applications have been subject of R&D for leading German and international enterprises in automotive and other sectors. On semantic web and intelligent computer mathematics, Christoph has organised conferences, challenges, trainings and workshops, co-supervised 10 PhD students, taught lectures, labs, and seminars, served as an expert for international funding bodies and contributed to OMG and W3C standards.