果冻传媒

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鈥攊ncluding omics and imaging鈥攁nd develops multiscale models with spatial resolution to study signaling dynamics and tumor鈥搃mmune 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.