University of Munich
University of Munich email@example.com
Dr. Geistlinger is trained in Bioinformatics. His research interests are in computational biology and biostatistics, focusing on the field of functional enrichment analysis of high-throughput genomic assay data.
Prior to his work at CUNY ISPH, Dr. Geistlinger completed a PhD on network-based analysis of gene expression data at the University of Munich, Germany, and a post-doctoral fellowship at the University of São Paulo, Brazil, where he analyzed the effects of structural genome variation on gene expression.
Dr. Geistlinger’s implementation science experience centers on designing and implementing methods for the analysis of large-scale genomic assay data to improve the understanding of molecular mechanisms underlying specific cancer types. This also includes assessment of the clinical relevance of molecular cancer subtypes, especially whether their incorporation in personalized healthcare could improve treatment and clinical outcome.