As Head of Biomarker & Data Insights at Bayer AG (Berlin, Germany) Karl leads a team of data scientists / statisticians. With a background in omics data science and precision medicine, his team’s major objective is to advance drug development by enabling holistic understanding of complex biological systems - namely the patients in need. In this vein, their current endeavour is to understand how applied AI/ML can help to detect highly complex safety and efficacy signals in interventional clinical trials and how that can be utilized as a basis for creating digital twin models of specific disease indications. Karl, being a Biochemist by training, discovered his passion for mathematical modelling of complex biological systems during his PhD at Humboldt University (Berlin, Germany) and subsequently devoted himself to applied machine learning during postdocs at TU-Dresden (Germany) and the Max-Delbrück-Center for Molecular Medicine (Berlin, Germany) before joining Bayer AG in 2012. At Bayer he has held positions of increasing responsibility as Study and Project Biomarker statistician for interventional trials of all phases in oncology.