Daniel Kuhn is computational chemist and discovery project leader at Merck in Darmstadt, Germany. After studying pharmacy in Marburg he obtained his PhD from Philipps-University, Marburg in computational chemistry working with Gerhard Klebe on the classification of protein binding sites. In 2004 he joined Boehringer Ingelheim in Vienna as computational chemist working in oncology research. In 2010 he joined Merck as principal scientist contributing to projects in early and late drug discovery stages. He is also leading a lead optimization project towards preclinical development. His research interests include protein kinase drug discovery, structure-based design and machine learning approaches to hit identification and lead-optimization.