Lukas Gienapp is an ML/IR researcher with eight years of experience specializing in applying and adapting large language models to search problems and making search systems useful for LLMs. Based in Leipzig, he combines academic rigor from his MSc studies at Universität Leipzig with hands-on research roles at ScaDS.AI, Leipzig University and Universität Kassel, where he currently works. His work blends information retrieval, machine learning and knowledge extraction—teaching models not just to retrieve documents but to distill actionable knowledge from them. Active in regional research networks like webis and hessian.AI, he frequently bridges collaborative projects across institutions as a guest researcher. Less obvious: he moves fluidly between building experimental systems and producing reproducible research, making him effective at translating novel IR ideas into practical evaluation setups.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Master of Science - MS at Universität Leipzig
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Lukas Gienapp - ML IR Researcher at ScaDS.AI Dresden/Leipzig