Summary
Leonhard Hennig is a Senior Researcher at DFKI in Berlin with eight years of focused experience in NLP, information extraction, text summarization and machine learning, combining deep academic roots (PhD from TU Berlin) with applied R&D. He has led and acquired over €15M in national research and industry funding while supervising multidisciplinary teams and coordinating complex projects that bridge computation and product needs. His work spans probabilistic topic models, relation extraction, entity linking and LLM evaluation, and he has a track record of turning research prototypes into multilingual, production-oriented systems. Prior roles in industry and academia include data science at Searchmetrics and leadership of an IR & ML competence center at TU Berlin, where he built language-independent news summarizers and recommender/search systems. Less obvious: he pairs strong theoretical expertise with practical engineering across Java/Scala/Python and has repeatedly delivered end-to-end systems—from Lucene search engines to JEE-based personalized assistants—making him effective at both grant-driven research and product delivery.
8 years of coding experience
10 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at Technische Universität Berlin / Technical University Berlin
Cognitive Science, Machine Learning, Linguistics, Cognitive Science, Machine Learning, Linguistics at The University of Waikato
Magister Artium, Computational Linguistics/Artificial Intelligence, Computer Science, Linguistics, Magister Artium, Computational Linguistics/Artificial Intelligence, Computer Science, Linguistics at Universität Osnabrück