Professor Christoph Lippert is the Chair of Digital Health and Machine Learning at the Hasso Plattner Institute, where he explores the theory of machine learning and artificial intelligence, alongside novel applications in medicine and genomics. His research focuses on advancing capabilities to predict personal health risks and supporting the personalized prevention of health issues and diseases through the analysis of medical health records, imaging, and sequencing data.

Lippert earned his PhD in Bioinformatics from the University of Tübingen for his work on mixed models for genome-wide association studies at the Max Planck Institute for Intelligent Systems. Prior to joining HPI, he led a research group in Statistical Genomics at the Max Delbrück Center for Molecular Medicine. His experience also includes roles on the Data Science team at Human Longevity, Inc., where he predicted physical traits from the genome, and research at Microsoft in Los Angeles, developing models for genetic analysis of heritable phenotypes.