As a data scientist and team leader for “Data Analytics” at LEC, one of Christian Laubichler’s main goals is to gain insight into the performance and condition of large internal combustion engines and their key components by utilizing the ever-increasing amount of available data. Along with modern data analytics approaches, such as machine learning, he often uses statistical methods, supported by his strong background in statistics and his MSc in Technical Mathematics. However, he is not only concerned with analyzing and modeling data, but also with how large internal combustion engines can benefit from ongoing digitalization in general. His experience across diverse fields—including animal health, environmental science, finance, and information security—often helps him think outside the box and approach complex challenges from a broader perspective.