Elisa integrates multiple omic and phenotipic data with genome-scale metabolic modelling for rational strain design and bioprocess optimization project as part of her 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 the python module COBRAme. Her objective is to make a quantitative comparison between genome and proteome reduction strategies for redirecting cellular resources to synthetic functions.
Education 🎓
PhD Student in Biotechnology, NTNU
| Trondheim, Norway
Masters Candidate in Biochemical Sciences, UNAM
| Morelos, Mexico
Bachelor in Genomic Sciences (LCG), UNAM
| Morelos, Mexico
Internships 🧫/💻
University of Edinburgh, School of Engineering 2019/01 – 2019/04.
University of Natural Resources and Life Sciences, Vienna, Dpt. of Biotechnology 2016/12 – 2017/02.
Elisa integrates multiple omic and phenotipic data with genome-scale metabolic modelling for rational strain design and bioprocess optimization project as part of her 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 the python module COBRAme. Her objective is to make a quantitative comparison between genome and proteome reduction strategies for redirecting cellular resources to synthetic functions.
Education 🎓
Masters Candidate in Biochemical Sciences, UNAM
| Morelos, Mexico
Bachelor in Genomic Sciences (LCG), UNAM
| Morelos, Mexico
Internships 🧫/💻
University of Edinburgh, School of Engineering 2019/01 – 2019/04.
University of Natural Resources and Life Sciences, Vienna, Dpt. of Biotechnology 2016/12 – 2017/02.
