Leonor Cerdá Alberich
Leonor Cerdá Alberich is Doctor in Physics. Her career began in 2013 at the Institute for Corpuscular Physics (IFIC, University of Valencia – CSIC), working on the analysis of large unstructured data sets collected with the ATLAS experiment at the European Organization for Nuclear Research (CERN), where she obtained her doctorate Cum Laude in Physics in 2018. She has extensive experience in data analysis, image modelling with artificial intelligence, development of image standardization algorithms, extraction of quantitative parameters, automatic segmentation, data acquisition, technical management, tutoring and outreach.
She currently works as head of the Computing and AI Department within the Biomedical Imaging Research Group (GIBI230) at the La Fe Health Research Institute. She leads and performs tasks such as biomedical image processing and development of artificial intelligence algorithms and methodologies for the extraction of image biomarkers and prediction of relevant clinical outcomes. Her main research lines include harmonization of imaging data, obtention of radiogenomic signatures, heterogeneity studies based on the identification of tumor habitats, and development of novel methodologies for feature selection, dimensionality reduction and prediction of clinical endpoints.