Federica Eduati
Department / Institute
Group
RESEARCH PROFILE
Federica Eduati is an assistant professor at the department Biomedical Engineering (research group Computational Biology), working on systems biology for oncology. She investigates why patients differentially respond to cancer therapy, and how personalized therapy based on biomarkers can be developed. In particular, she approaches the complex problem of precision medicine by applying dynamic mathematical modeling approaches and machine learning techniques to investigate signaling pathways, their deregulation in cancer, and the specific effect of targeted therapy. Since precision medicine would largely benefit from the possibility to perform phenotypic drug screening directly on live patient tumor cells, she has also been collaborating on the development of a microfluidics platform for this purpose. She is now expanding her research to study the interaction between tumor and immune cells, using a systems biology approach to tackle the multiple open questions of immuno-oncology.
I want to contribute to the improvement of cancer therapy, using systems approaches to gain important insights into the complexity of tumors.
ACADEMIC BACKGROUND
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/).
Key Publications
-
Margot Passier,Maisa N.G. van Genderen,Anniek Zaalberg,Elise M. Bekers,Andries M. Bergman,Wilbert Zwart,Federica Eduati
Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Cancer Research Communications (2023) -
Esther Visser,Sylvia A.A.M. Genet,Remco P.P.A. de Kock,Ben E.E.M. van den Borne,Maggy Youssef-El Soud,Huub N.A. Belderbos,Gerben Stege,Marleen E.A. de Saegher,Susan C. van 't Westeinde,Luc Brunsveld
Liquid biopsy-based decision support algorithms for diagnosis and subtyping of lung cancer
Lung Cancer (2023) -
Óscar Lapuente-Santana,Maisa van Genderen,Peter A.J. Hilbers,Francesca Finotello,Federica Eduati
Interpretable systems biomarkers predict response to immune-checkpoint inhibitors
Patterns (2021) -
Federica Eduati,Patricia Jaaks,Jessica Wappler,Thorsten Cramer,Christoph A Merten,Mathew J Garnett,Julio Saez-Rodriguez
Patient-specific logic models of signaling pathways from screenings on cancer biopsies to prioritize personalized combination therapies
Molecular Systems Biology (2020) -
Federica Eduati,Ramesh Utharala,Dharanija Madhavan,Ulf Peter Neumann,Thomas Longerich,Thorsten Cramer,Julio Saez-Rodriguez,Christoph A. Merten
A microfluidics platform for combinatorial drug screening on cancer biopsies
Nature Communications (2018)
Current Educational Activities
Ancillary Activities
- Freelancer (on data analysis) for a startup aimed at bringing to commercialisation a microfluidics platform I co-developed to test anticancer drugs directly of patient biopsies to improve precision oncology., TheraMe!