Robert Küffner

Robert Kueffner heads scientific programming and computational data analysis projects supporting wet lab and clinical groups. He develops innovative next generation sequencing (NGS) and multi-omics based analytics based on machine learning (ML), advanced statistics and natural language processing for genomics, transcriptomics and epidemiology applications. Approaches and tools resulting from this research have been applied in many projects to provide systematic bioinformatics support; e.g. for the pre-processing, analysis and integration of large-scale NGS datasets. Supervising large international consortia, he brings together ML techniques commonly applied from bioinformatics to marketing analytics, including techniques for multivariate, survival and longitudinal data analysis. They also led to the generation and implementation of novel approaches for the detection of biomarkers by analyzing massive clinical data via ML. Dr. Küffner received his PhD in molecular biology in 1998 at the Heinrich-Heine Universität Düsseldorf, Germany and habilitated 2010 in computer science at the Ludwig-Maximilians Universität München, Germany.