Describing, understanding and ultimately controlling life's processes
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.
Research Lines
Meet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
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Reproducing and improving one-dimensional convolutional neural networks for arterial blood pressure-based cardiac output estimation
(2024) -
Mechanism-based and data-driven modeling in cell-free synthetic biology
Chemical Communications, ChemComm (2024) -
The CoLab score is associated with SARS-CoV-2 viral load during admission in individuals admitted to the intensive care unit
Clinical Chemistry and Laboratory Medicine (2024) -
Quantifying the effect of nutritional interventions on metabolic resilience using personalized computational models
iScience (2024) -
The laboratory parameters-derived CoLab score as an indicator of the host response in ICU COVID-19 patients decreases over time
Scientific Reports (2024)
Contact
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Visiting address
Building 15, Gemini South (room 2.106)Groene Loper5612 AZ EindhovenNetherlands -
SecretaryBME.Seccbioimage@ tue.nl