Ludwig Geistlinger

Post-Doctoral Fellow
in Cancer Genomics

Ph.D Bioinformatics
University of Munich

M.S Bioinformatics
University of Munich
ludwig.geistlinger@sph.cuny.edu

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.

Key Projects:

Recent Publications:

Citation

Diniz WJS, Mazzoni G, Coutinho LL, Banerjee P, Geistlinger L, Cesar ASM, Bertolini F, Afonso J, de Oliveira PSN, Tizioto PC, Kadarmideen HN, Regitano LCA. Detection of Co-expressed Pathway Modules Associated With Mineral Concentration and Meat Quality in Nelore Cattle. Front Genet. 2019 Mar 13;10:210. doi: 10.3389/fgene.2019.00210. eCollection 2019.

Beghini F, Renson A, Zolnik CP, Geistlinger L, Usyk M, Moody TU, Thorpe L, Dowd JB, Burk R, Segata N, Jones HE, Waldron L. Tobacco exposure associated with oral microbiota oxygen utilization in the New York City Health and Nutrition Examination Study. Ann Epidemiol. 2019 Mar 28. pii: S1047-2797(18)30677-X. doi: 10.1016/j.annepidem.2019.03.005. [Epub ahead of print]

da Silva V, Ramos M, Groenen M, Crooijmans R, Johansson A, Regitano L, Coutinho L, Zimmer R, Waldron L, Geistlinger L. CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes. Bioinformatics. 2019 Aug 8. pii: btz632. doi: 10.1093/bioinformatics/btz632. [Epub ahead of print]

Waldron L, Schiffer L, Azhar R, Ramos M, Geistlinger L, Segata N. Improving Accessibility of the Human Microbiome Project Data Through Integration With R/Bioconductor. Am J Epidemiol. 2019 Jan 23. doi: 10.1093/aje/kwz008. [Epub ahead of print]

Gegenfurtner FA,  Jahn B, Wagner H, Ziegenhain C, Enard W, Geistlinger L, Rädler JO, Vollmar AM, Zahler S. Micropatterning as a tool to identify regulatory triggers and kinetics of actin-mediated endothelial mechanosensing. J Cell Sci 2018 : jcs.212886 doi: 10.1242/jcs.212886. Published 3 May 2018.

Citation