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Helmholtz Munich / Matthias Tunger

Carsten Marr

Director Institute of AI for Health

“Our interdisciplinary teams between computational researches and biomedical and clinical experts are key for progress in health AI”.

“Our interdisciplinary teams of computational researches and clinical experts are key for progress in health AI”


Research Focus

My lab advances the diagnosis, treatment and understanding of severe blood disorders. We do this by developing custom machine learning algorithms to classify individual cells and patients. Single cell-based big data analysis helps us to identify potential drug targets. Using our prior knowledge of haematopoiesis, the production of blood cells, we fit time-resolved data with mechanistic mathematical models. Combining the power of AI with our knowledge of biomedical systems is one of our current research challenges.

Gottschlich, Adrian, Moritz Thomas, Ruth Grünmeier, …, Carsten Marr and Sebatian Kobold. 2023.  Single-Cell Transcriptomic Atlas-Guided Development of CAR-T Cells for the Treatment of Acute Myeloid Leukemia. Nature Biotechnology

Matek, Christian, Sebastian Krappe, Christian Münzenmayer, Torsten Haferlach, and Carsten Marr. 2021.  Highly Accurate Differentiation of Bone Marrow Cell Morphologies Using Deep Neural Networks on a Large Image Data Set. Blood

Strasser, Michael K., Philipp S. Hoppe, Dirk Loeffler, Konstantinos D. Kokkaliaris, Timm Schroeder, Fabian J. Theis, and Carsten Marr. 2018.  Lineage Marker Synchrony in Hematopoietic Genealogies Refutes the PU.1/GATA1 Toggle Switch Paradigm. Nature Communications


Skills & Expertise

Machine learningMechanistic modelling

Single cell profilingComputational hematopathology

Professional Background


Head of AI for Health


Deputy director at the Institute of Computational Biology


Helmholtz Munich / Modeling stem cell kinetics

Honors and Awards

  • 2017: Erwin-Schrödinger Prize

  • 2017: CSB2 Prize in Systems Biology

  • 2019: ERC Consolidator

Gold Star Awards Luxury Background
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