| layout | page |
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| title | André Rendeiro |
| description | My personal website |
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- André Figueiredo Rendeiro
- Principal Investigator
- CeMM - Research Center
- for Molecular Medicine,
- Austrian Academy of Sciences
- Research Group Leader,
- Ludwig Boltzmann Institute
- for Network Medicine
- at the University of Vienna
- Orcid ID:
- 0000-0001-9362-5373
- Google Scholar:
- André Figueiredo Rendeiro
- Curriculum Vitae:
- Download my CV in PDF format
I am a Principal Investigator at CeMM - the Research Center for Molecular Medicine of the Austrian Academy of Sciences and a Research Group Leader at the Ludwig Boltzmann Institute for Network Medicine at the University of Vienna, leading a research group on computational and molecular methods to study human aging and pathology.
My group develops computational methods for the analysis of spatial data (spatial transcriptomics, highly multiplexed imaging), and its integration with various modalities of molecular and clinical data of individuals along their lifespan. I am particularly interested in the organization of cells at the micro-anatomical level and understanding how this changes during the lifespan of individuals and at the onset of disease.
For my postdoctoral research, I was at the Institute for Computational Biomedicine of Weill Cornell Medical College and the Englander Institute for Precision Medicine in the lab of Olivier Elemento. There, I developed computational methods to understand the spatial organization of tissue, and employed them to infectious disease and cancer.
During my PhD at CeMM in the lab of Christoph Bock, I applied computational methods to high-dimensional datasets of patient data to produce novel ways to monitor disease progression, stratify patients and develop novel therapeutic options. I also developed several methods for the epigenomic or single-cell profiling of human cells.
- scifi-RNA-seq: Datlinger*, Rendeiro*, et al, Nature Methods, 2021
- ChIP-STARR-seq: Barakat*, Halbritter*, et al, Cell Stem Cell, 2018
- CROP-seq: Datlinger, et al, Nature Methods, 2017
- ChIPmentation: Schmidl*, Rendeiro*, et al, Nature Methods, 2015
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