Thomas Luechtefeld is a specialist in the development of AI-driven systems for predictive toxicology. His current work focuses on the "Persistent Agent" framework, which integrates large language models, interoperable knowledge graphs, and predictive tools to automate toxicological reasoning. By leveraging platforms like ToxIndex and the BioBricks-OKG data registry, Thomas aims to turn fragmented data into coherent, interpretable predictions for safer material design and hazard assessment. He is an active contributor to the OpenTox community, dedicated to advancing scalable, automated approaches for chemical safety and regulatory compliance.