Federica Eduati is Associate Professor in Systems Biology for Oncology at the Department of Biomedical Engineering. Her research aims to understand why patients respond differently to cancer therapies and to develop personalized treatment strategies through interpretable computational models. Her group integrates prior knowledge of regulatory mechanisms with experimental data from diverse modalities—including omics and imaging—and develops multiscale models with spatial resolution to study signaling dynamics and tumor–immune interactions. These models are trained and validated using data from public repositories, collaborators, and in-house experiments, including those generated through advanced droplet microfluidics. Her work contributes to the development of predictive, interpretable models for precision oncology.

I want to contribute to the improvement of cancer therapy, using systems approaches to gain important insights into the complexity of tumors.

Federica Eduati received a BSc in Biomedical Engineering (2006) and a MSc in Bioengineering (2008) from the University of Padova, Italy (both cum laude). During her PhD research she worked in the field of systems biology using different computational modeling approaches in order to gain new insights into biological systems. Following her graduation in 2013, she became a postdoc (EMBL EIPOD, co-funded Marie Curie fellowship) at the European Molecular Biology Laboratory (EMBL), shared between the Systems Biomedicine group of Julio Saez-Rodriguez at EMBL-EBI (Cambridge, UK) and the microfluidics group of Christoph Merten at EMBL-HD (Heidelberg, Germany). Since 2018 she is assistant professor in the Computational Biology group at Eindhoven University of Technology (TU/e, The Netherlands), working on systems biology for (immuno-)oncology. In 2013, Federica was co-organizer of the NIEHS-NCATS-UNC DREAM Toxicogenetics Challenge (http://dreamchallenges.org/).