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”.
- See the Institute of AI for Health page for more details.
“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
For complete list of publications, see Google Scholar.
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
