Ludwig Geistlinger headshot

Ludwig Geistlinger, PhD

Director of Computational Biology, Core for Computational Biomedicine

Ludwig Geistlinger is the Director of Computational Biology at the Core for Computational Biomedicine, where he is leading a team of data scientists and software engineers in its mission to support the broad use of leading-edge computational and analytic methods at Harvard Medical School.

Dr. Geistlinger received a PhD in bioinformatics from the University of Munich, Germany, focusing on network-based analysis of gene expression data. He then completed a post-doctoral fellowship at the University of São Paulo, Brazil, where he analyzed the effects of structural genome variation on gene expression. He then held a post-doctoral research position in the lab of Levi Waldron at the School of Public Health of the City University of New York, where he developed integrative and scalable solutions for cancer genomics in R/Bioconductor.

Dr. Geistlinger is a long-term contributor to the Bioconductor project and a member of Bioconductor’s Technical Advisory Board. He is a co-author and co-maintainer of the “Orchestrating single-cell analysis with Bioconductor” (OSCA) paper and online book, which serves as an analysis template for many single-cell gene expression studies. He has served as an instructor of several genomic data science workshops at Harvard and other renowned research institutions and hospitals in Germany and the US, which have been completed by hundreds of participants.

Dr. Geistlinger's research interests are in computational biology and biostatistics, with applications in single-cell and spatial omics data analysis, gene set and network enrichment analysis, copy number variation analysis, human microbiome analysis, and multi-omic analysis in the cancer genomics field.

Bioconductor's EnrichmentBrowser: seamless navigation through combined results of set- & network-based enrichment analysis.
Authors: Geistlinger L, Csaba G, Zimmer R.
BMC Bioinformatics
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Genome-Wide Detection of CNVs and Their Association with Meat Tenderness in Nelore Cattle.
Authors: Silva VH, Regitano LC, Geistlinger L, Pértille F, Giachetto PF, Brassaloti RA, Morosini NS, Zimmer R, Coutinho LL.
PLoS One
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Addressing false discoveries in network inference.
Authors: Petri T, Altmann S, Geistlinger L, Zimmer R, Küffner R.
Bioinformatics
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A comprehensive gene regulatory network for the diauxic shift in Saccharomyces cerevisiae.
Authors: Geistlinger L, Csaba G, Dirmeier S, Küffner R, Zimmer R.
Nucleic Acids Res
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Factors influencing the efficiency of generating genetically engineered pigs by nuclear transfer: multi-factorial analysis of a large data set.
Authors: Kurome M, Geistlinger L, Kessler B, Zakhartchenko V, Klymiuk N, Wuensch A, Richter A, Baehr A, Kraehe K, Burkhardt K, Flisikowski K, Flisikowska T, Merkl C, Landmann M, Durkovic M, Tschukes A, Kraner S, Schindelhauer D, Petri T, Kind A, Nagashima H, Schnieke A, Zimmer R, Wolf E.
BMC Biotechnol
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From sets to graphs: towards a realistic enrichment analysis of transcriptomic systems.
Authors: Geistlinger L, Csaba G, Küffner R, Mulder N, Zimmer R.
Bioinformatics
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Evolution of protein phosphorylation for distinct functional modules in vertebrate genomes.
Authors: Wang Z, Ding G, Geistlinger L, Li H, Liu L, Zeng R, Tateno Y, Li Y.
Mol Biol Evol
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Genome-wide association study identifies two novel regions at 11p15.5-p13 and 1p31 with major impact on acute-phase serum amyloid A.
Authors: Marzi C, Albrecht E, Hysi PG, Lagou V, Waldenberger M, Tönjes A, Prokopenko I, Heim K, Blackburn H, Ried JS, Kleber ME, Mangino M, Thorand B, Peters A, Hammond CJ, Grallert H, Boehm BO, Kovacs P, Geistlinger L, Prokisch H, Winkelmann BR, Spector TD, Wichmann HE, Stumvoll M, Soranzo N, März W, Koenig W, Illig T, Gieger C.
PLoS Genet
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Genetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum.
Authors: Gieger C, Geistlinger L, Altmaier E, Hrabé de Angelis M, Kronenberg F, Meitinger T, Mewes HW, Wichmann HE, Weinberger KM, Adamski J, Illig T, Suhre K.
PLoS Genet
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