Computational Biology

  • AddressShow on map

    Groene Loper, Building 15, Gemini South (room 2.106)

    5612 AZ Eindhoven


Organisation profile

Introduction / mission

Constructing computational models to improve the knowledge of diseases, biomedical processes and structures.

Highlighted phrase

Describing, understanding and ultimately controlling life's processes

Organisation profile

The research group Computational Biology develops computational models that help to obtain qualitative and quantitative knowledge of diseases, biomedical processes and structures. The computational models are developed based on a thorough understanding of systems biology modeling methods, data analysis techniques,  machine learning, and parameter estimation algorithms. Topics of research are, amongst others, complex biochemical networks, diseases like metabolic syndrome, diabetes mellitus and cancer, and applied clinical data science. Next to data obtained through collaborations and partnerships with other university groups, companies and hospitals, within the Systems Biology for Oncology theme data is also achieved by own experiments. The group also puts efforts in enhancing the shift from ‘describing’ life’s processes to ‘understanding’ them and ‘capturing’ them in validated predictive models, and even ‘managing’ or ‘controlling’ them in real life. Research themes of the group are Systems Biology and Metabolic Disease, Systems Biology for Oncology, Immuno Systems Biology, and Data Science and Bioinformatics.

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


Dive into the research topics where Computational Biology is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Collaborations and top research areas from the last five years

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