Computational Health Center

Institute of Computational Biology

The Institute of Computational Biology (ICB) develops models and methods for data analysis in systems biology and systems medicine. We integrate information on multiple scales, ranging from single-cell time series to cohort omics data. Heterogeneities in the data are modeled using statistical and dynamical approaches, both on the cellular and the population level.

The Institute of Computational Biology (ICB) develops models and methods for data analysis in systems biology and systems medicine. We integrate information on multiple scales, ranging from single-cell time series to cohort omics data. Heterogeneities in the data are modeled using statistical and dynamical approaches, both on the cellular and the population level.

Keyvisual ICB

About us

We develop innovative methods and tools in

  • data sciences
  • dynamical modeling
  • integrative omics and
  • bioimage informatics

and apply them collaboratively with our experimental partners to

  • modeling stem cell decisions
  • modeling transcriptional heterogeneities and
  • Quantifying gene-environment effects in diabetes and lung disease

to jointly advance our understanding and treatment of human diseases.

Our Groups

Computational Epigenomics

Colomé-Tatché Group

Biostatistics

Fuchs Group

Computational Molecular Medicine

Gagneur Group

Data-driven Computational Modelling

Hasenauer Group

Genetic and Epigenetic Gene Regulation

Heinig Group

Computation and Machine Learning

Jüstel Group

Medical Genomics

Knauer-Arloth Group

Computational RNA Biology

Marsico Group

Computational Biomedicine

Menden Group

Computational Statistics and Data Science for Biological Systems

C.L. Müller Group

Dynamical Inference

Schneider Lab

Translational Immunoinformatics

Schubert Group

Physics and data-based modelling of cellular decision making

Scialdone Group

Machine Learning

Theis Lab

Our News

See all
Big data technology data science analysis

AI, New Research Findings, Computational Health, ICB,

BioPathNet: New AI Uncovers Hidden Patterns in Biomedical Knowledge Graphs

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data networks for hidden connections – from gene functions and disease mechanisms to potential therapeutic approaches. BioPathNet was…

Detailed view of a computer interface used by geneticists showing a complex genome mapping software with colorful DNA strands without displaying any personal identity in a modern research lab

AI, New Research Findings, Computational Health, ICB,

Pertpy: A Software Toolbox Reveals How Individual Cells Respond to Therapies

With single-cell technologies, researchers can measure millions of cells in parallel and track how each one responds to specific perturbations – targeted interventions such as drug treatments, changes in gene activity or disease-like conditions.…

HMGU_Icon_Computat_Health

Featured Publication, Computational Health, ICB,

Mapping Carotid Artery Plaques at Single-Cell Resolution

Researchers from Helmholtz Munich, the Technical University of Munich (TUM), and international partner institutions have generated one of the most detailed cellular maps of carotid artery plaques to date. Their work shows how different cell types and…

Osteoarthritis in knee

Awards & Grants, Computational Health, ICB, ITG, IML,

Helmholtz Munich Launches Pioneering Osteoarthritis Research Project With EU Partners

Helmholtz Munich is part of the EU research initiative PROBE, which aims to fundamentally transform the way osteoarthritis is diagnosed and treated. The project is funded through HORIZON EUROPE by the Innovative Health Initiative and has a total…

AI models in science

AI, Awards & Grants, Computational Health, ICB,

Helmholtz Munich to Advance AI Benchmarking With Three Newly Funded Projects

Helmholtz Munich has secured funding in the Helmholtz Association’s first-ever “UNLOCK” call for AI benchmarking. With three projects approved, the center plays a key role in developing high-quality, multimodal benchmarking datasets that will improve…

Histology of human cells

AI, New Research Findings, Computational Health, ICB,

New Foundation Model Reveals How Cells Are Organized in Tissues

Researchers at Helmholtz Munich and the Technical University of Munich (TUM) have developed Nicheformer, the first large-scale foundation model that integrates single-cell analysis with spatial transcriptomics. Trained on more than 110 million cells,…

Operations & Scientific Management

Scientists at ICB

Frau Sacher, Anna, Dr._freigestellt
Dr. Anna Sacher

Head of Science Management & Administration, Institute of Computational Biology

Dr. Julia Schlehe

Munich School for Data Sciences

Daniela Herrmann

Administrative assistant

Karina Kahl

Administrative assistant

Mara Kieke

Administration and Recruitment

Sabine Kunz

Executive Assistant to Fabian Theis

Contact

Frau Sacher, Anna, Dr._freigestellt
Dr. Anna Sacher

Head of Science Management & Administration, Institute of Computational Biology

Ingolstädter Landstraße 1, 85764 Neuherberg

Building / Room: 58a, 105