Elisa integrates multiple omics and phenotypic data with genome-scale metabolic modeling for rational strain design and bioprocess optimization project as part of his work at CCG with Utrilla Lab. She is interested in the integration of different types of data such as RNA-seq, proteomics, Ribo-seq and fitness information, with metabolism and expression models built with thepython module COBRAme. Her objective is to make a quantitative comparison between genome and proteome reduction strategies for redirecting cellular resources to synthetic functions.