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.

Reporting guidelines for human microbiome research: the STORMS checklist.
Authors: Mirzayi C, Renson A, Zohra F, Elsafoury S, Geistlinger L, Kasselman LJ, Eckenrode K, van de Wijgert J, Loughman A, Marques FZ, MacIntyre DA, Arumugam M, Azhar R, Beghini F, Bergstrom K, Bhatt A, Bisanz JE, Braun J, Bravo HC, Buck GA, Bushman F, Casero D, Clarke G, Collado MC, Cotter PD, Cryan JF, Demmer RT, Devkota S, Elinav E, Escobar JS, Fettweis J, Finn RD, Fodor AA, Forslund S, Franke A, Furlanello C, Gilbert J, Grice E, Haibe-Kains B, Handley S, Herd P, Holmes S, Jacobs JP, Karstens L, Knight R, Knights D, Koren O, Kwon DS, Langille M, Lindsay B, McGovern D, McHardy AC, McWeeney S, Mueller NT, Nezi L, Olm M, Palm N, Pasolli E, Raes J, Redinbo MR, Rühlemann M, Balfour Sartor R, Schloss PD, Schriml L, Segal E, Shardell M, Sharpton T, Smirnova E, Sokol H, Sonnenburg JL, Srinivasan S, Thingholm LB, Turnbaugh PJ, Upadhyay V, Walls RL, Wilmes P, Yamada T, Zeller G, Zhang M, Zhao N, Zhao L, Bao W, Culhane A, Devanarayan V, Dopazo J, Fan X, Fischer M, Jones W, Kusko R, Mason CE, Mercer TR, Sansone SA, Scherer A, Shi L, Thakkar S, Tong W, Wolfinger R, Hunter C, Segata N, Huttenhower C, Dowd JB, Jones HE, Waldron L.
Nat Med
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Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals.
Authors: Asnicar F, Berry SE, Valdes AM, Nguyen LH, Piccinno G, Drew DA, Leeming E, Gibson R, Le Roy C, Khatib HA, Francis L, Mazidi M, Mompeo O, Valles-Colomer M, Tett A, Beghini F, Dubois L, Bazzani D, Thomas AM, Mirzayi C, Khleborodova A, Oh S, Hine R, Bonnett C, Capdevila J, Danzanvilliers S, Giordano F, Geistlinger L, Waldron L, Davies R, Hadjigeorgiou G, Wolf J, Ordovás JM, Gardner C, Franks PW, Chan AT, Huttenhower C, Spector TD, Segata N.
Nat Med
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Toward a gold standard for benchmarking gene set enrichment analysis.
Authors: Geistlinger L, Csaba G, Santarelli M, Ramos M, Schiffer L, Turaga N, Law C, Davis S, Carey V, Morgan M, Zimmer R, Waldron L.
Brief Bioinform
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SIMON: Open-Source Knowledge Discovery Platform.
Authors: Tomic A, Tomic I, Waldron L, Geistlinger L, Kuhn M, Spreng RL, Dahora LC, Seaton KE, Tomaras G, Hill J, Duggal NA, Pollock RD, Lazarus NR, Harridge SDR, Lord JM, Khatri P, Pollard AJ, Davis MM.
Patterns (N Y)
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Multiomic Analysis of Subtype Evolution and Heterogeneity in High-Grade Serous Ovarian Carcinoma.
Authors: Geistlinger L, Oh S, Ramos M, Schiffer L, LaRue RS, Henzler CM, Munro SA, Daughters C, Nelson AC, Winterhoff BJ, Chang Z, Talukdar S, Shetty M, Mullany SA, Morgan M, Parmigiani G, Birrer MJ, Qin LX, Riester M, Starr TK, Waldron L.
Cancer Res
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Multiomic Integration of Public Oncology Databases in Bioconductor.
Authors: Ramos M, Geistlinger L, Oh S, Schiffer L, Azhar R, Kodali H, de Bruijn I, Gao J, Carey VJ, Morgan M, Waldron L.
JCO Clin Cancer Inform
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Reliable Analysis of Clinical Tumor-Only Whole-Exome Sequencing Data.
Authors: Oh S, Geistlinger L, Ramos M, Morgan M, Waldron L, Riester M.
JCO Clin Cancer Inform
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Orchestrating single-cell analysis with Bioconductor.
Authors: Amezquita RA, Lun ATL, Becht E, Carey VJ, Carpp LN, Geistlinger L, Marini F, Rue-Albrecht K, Risso D, Soneson C, Waldron L, Pagès H, Smith ML, Huber W, Morgan M, Gottardo R, Hicks SC.
Nat Methods
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Publisher Correction: Orchestrating single-cell analysis with Bioconductor.
Authors: Amezquita RA, Lun ATL, Becht E, Carey VJ, Carpp LN, Geistlinger L, Marini F, Rue-Albrecht K, Risso D, Soneson C, Waldron L, Pagès H, Smith ML, Huber W, Morgan M, Gottardo R, Hicks SC.
Nat Methods
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CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes.
Authors: da Silva V, Ramos M, Groenen M, Crooijmans R, Johansson A, Regitano L, Coutinho L, Zimmer R, Waldron L, Geistlinger L.
Bioinformatics
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