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Carsten Marr
Helmholtz Munich / Matthias Tunger

Carsten Marr

Director Institute of AI for Health

“Our interdisciplinary collaborations between computational researchers, biomedical scientists, and clinical experts drive progress and innovation 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


Boushehri, Sayedali S., Katharina Essig, ..., Elke Glasmacher, Carsten Marr, and Fabian Schmich. 2023 Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies. Nature Communications


Hehr, Matthias, ..., Carsten Marr. 2023 Explainable AI identifies diagnostic cells of genetic AML subtypes. PLOS Digital Health


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


Matek, Christian, Simone Schwarz, Karsten Spiekermann, and Carsten Marr. 2019 Human-level recognition of blast cells in acute myeloid leukaemia with convolutional neural networks. Nature Machine Intelligence


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


Buggenthin, Felix, Florian Buettner, ..., Timm Schroeder, Fabian J Theis, and Carsten Marr. 2017 Prospective identification of hematopoietic lineage choice by deep learning. Nature Methods

For the complete list of publications, see Google Scholar

Skills & Expertise

Machine learningMechanistic modelling

Single cell profilingComputational hematopathology

Professional Background

2021-present

Director of the Institute of AI for Health

2013

Deputy director at the Institute of Computational Biology

2008

Helmholtz Munich / Modeling stem cell kinetics

Honors and Awards

  • 2024: Eugen Münch Prize for Innovative Healthcare from the Röhn Foundation

  • 2024: Visiting Professor at Feinberg School of Medicine - Northwestern University, USA

  • 2023: ERC Proof of Concept Grant

  • 2019: ERC Consolidator Grant

  • 2017: Erwin-Schrödinger Prize

  • 2017: CSB2 Prize in Systems Biology

Gold Star Awards Luxury Background
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Contact

Carsten Marr

Dr. Carsten Marr

Director Institute of AI for Health