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.

Waldron et al. Reply to "Commentary on the HMP16SData Bioconductor Package".
Authors: Waldron L, Schiffer L, Azhar R, Ramos M, Geistlinger L, Segata N.
Am J Epidemiol
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Tobacco exposure associated with oral microbiota oxygen utilization in the New York City Health and Nutrition Examination Study.
Authors: Beghini F, Renson A, Zolnik CP, Geistlinger L, Usyk M, Moody TU, Thorpe L, Dowd JB, Burk R, Segata N, Jones HE, Waldron L.
Ann Epidemiol
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HMP16SData: Efficient Access to the Human Microbiome Project Through Bioconductor.
Authors: Schiffer L, Azhar R, Shepherd L, Ramos M, Geistlinger L, Huttenhower C, Dowd JB, Segata N, Waldron L.
Am J Epidemiol
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Detection of Co-expressed Pathway Modules Associated With Mineral Concentration and Meat Quality in Nelore Cattle.
Authors: 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.
Front Genet
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Consensus on Molecular Subtypes of High-Grade Serous Ovarian Carcinoma.
Authors: Chen GM, Kannan L, Geistlinger L, Kofia V, Safikhani Z, Gendoo DMA, Parmigiani G, Birrer M, Haibe-Kains B, Waldron L.
Clin Cancer Res
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A comprehensive manually-curated compendium of bovine transcription factors.
Authors: de Souza MM, Zerlotini A, Geistlinger L, Tizioto PC, Taylor JF, Rocha MIP, Diniz WJS, Coutinho LL, Regitano LCA.
Sci Rep
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Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits.
Authors: Cesar ASM, Regitano LCA, Reecy JM, Poleti MD, Oliveira PSN, de Oliveira GB, Moreira GCM, Mudadu MA, Tizioto PC, Koltes JE, Fritz-Waters E, Kramer L, Garrick D, Beiki H, Geistlinger L, Mourão GB, Zerlotini A, Coutinho LL.
BMC Genomics
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Micropatterning as a tool to identify regulatory triggers and kinetics of actin-mediated endothelial mechanosensing.
Authors: Gegenfurtner FA, Jahn B, Wagner H, Ziegenhain C, Enard W, Geistlinger L, Rädler JO, Vollmar AM, Zahler S.
J Cell Sci
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Widespread modulation of gene expression by copy number variation in skeletal muscle.
Authors: Geistlinger L, da Silva VH, Cesar ASM, Tizioto PC, Waldron L, Zimmer R, Regitano LCA, Coutinho LL.
Sci Rep
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Orchestrating a community-developed computational workshop and accompanying training materials.
Authors: Davis S, Ramos M, Shepherd L, Turaga N, Geistlinger L, Morgan MT, Haibe-Kains B, Waldron L.
F1000Res
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