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.
Nat Med
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Nat Med
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Brief Bioinform
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Patterns (N Y)
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Cancer Res
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JCO Clin Cancer Inform
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JCO Clin Cancer Inform
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Nat Methods
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Nat Methods
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Bioinformatics
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