Our goal is to build computational and experimental tools to enable unprecedented insights into tissues in health and disease. The corresponding cellular profiles combined with novel functional assays will help to better understand, diagnose, and treat various tissue-based diseases like cancer.
HIGHLY MULTIPLEXED IMAGING
How can we deeply profile single cells in time and space?
We are using a variety of highly multiplexed imaging technologies to enable unprecedented insights into tissues in health and disease.
"GOOGLE MAPS" FOR TISSUE BIOLOGY
How can we find topographic biomarkers?
Our group develops and maintains computational tools tailored for processing, analysis and visualisation of highly multiplexed imaging and spatial omics data.
FUNCTIONAL SPATIAL OMICS
How can we perform in vivo drug screenings?
Our interdisciplinary teams develops novel functional assays combined with spatial omics technologies.
Dr. Denis Schapiro is a Research Group Leader at the Heidelberg University Hospital focusing on spatial omics technologies and analysis.
Before moving to Heidelberg, he was an Independent Fellow at the Laboratory of Systems Pharmacology at Harvard Medical School and the Klarman Cell Observatory at the Broad Institute where he was a a Damon Runyon Quantitative Biology Fellow mentored by Prof. Peter Sorger and Prof. Aviv Regev.
Previously, he was supported by the SNFS Mobility Fellowship.
Denis obtained his PhD from the University of Zurich and ETH Zurich in the laboratory of Prof. Bernd Bodenmiller where he worked on Imaging Mass Cytometry and corresponding analysis tools focusing on highly multiplexed image analysis. Denis is the lead developer of the histology topography cytometry analysis toolbox (histoCAT) and the multiple choice microscopy pipeline (MCMICRO).
Prior to this, he received his diploma (Dipl. Biol. (t.o)) at the University of Stuttgart and Harvard Medical School working with Prof. Peter Sorger and Prof. Alfred Goldberg. He was also an intern at the Complex Systems Modeling Group at Bayer AG in Leverkusen focusing on PBPK modeling.