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Cambridge Networks Network



Our goal is to acquire a functional understanding of signaling networks and their deregulation in disease and to apply this knowledge to novel therapeutics. Our research is hypothesis-driven and tailored towards producing mathematical models that integrate diverse data sources.

Our models integrate diverse types of data (from genomic to biochemical) with various sources of prior knowledge, with an emphasis on providing both predictive power of new experiments and insight on the functioning of the signaling network. We combine statistical methods with models describing the mechanisms of signal transduction either as logical or physico-chemical systems.

Group Leader at the European Institute of Bioinformatics
Dr Julio  Saez-Rodriguez
Not available for consultancy


Departments and institutes: 
Person keywords: 
Mathematical Modeling
Systems Biology
Signaling Networks
Systems Biomedicine