Tilman Kerl is a Data Science Intern at the International Atomic Energy Agency’s SGIM section, where they apply data science to global safeguards challenges. Currently pursuing a Master of Science in Data Science at Technische Universität Wien, with a focus on natural language processing and interpretability, Tilman previously completed a Bachelor of Science in Computer Science at Universität Konstanz. They have experience as a software engineer on EU-funded research projects and have co-authored two publications, including one on hallucination detection in large language models. Tilman's diverse experience includes roles as a Python course instructor and business intelligence analyst, showcasing their breadth of knowledge in both data science and software development.
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