Tianxiang Wang is a research associate at the specialised processes and secure IT infrastructures research group at Digital Public Services and mainly focuses on the full-stack development for the Possible project. He obtained his master's degree in Computational Linguistics at the University of Stuttgart, and a Postgraduate Diploma in Natural Language Processing at the University of Edinburgh. Before Fraunhofer, he had R&D experience in the filed of voice assistant for automobile, and research experience in information extraction in the domain of energy systems.

• Digital processes and documents
• Data infrastructures for data-driven government
• AI assistance systems