Elisa Márquez Zavala 🧫✍


Bio 📔

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.

Teaching 👩‍🏫

Professor of Python II | LCG, UNAM | 2021 | Morelos, Mexico
Teaching assistant of Statistics with R | LCG, UNAM | 2017, 2020, 2021 | Morelos, Mexico
Teaching assistant of Bioinformatics and Statistics II | LCG, UNAM | 2020, 2021 | Morelos, Mexico
Guest Professor of Biopython | LCG, UNAM | 2020 | Morelos, Mexico
Teaching assistant of Differential Equations II | LCG, UNAM | 2018, 2019 | Morelos, Mexico

Interests ✨

  • Genome-scale metabolic modelling
  • Rational strain desing
  • Bioprocess optimization
  • Teaching
  • Music

Elisa Márquez Zavala 🧫✍


Bio 📔

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.

Teaching 👩‍🏫

Professor of Python II | LCG, UNAM | 2021 | Morelos, Mexico
Teaching assistant of Statistics with R | LCG, UNAM | 2017, 2020, 2021 | Morelos, Mexico
Teaching assistant of Bioinformatics and Statistics II | LCG, UNAM | 2020, 2021 | Morelos, Mexico
Guest Professor of Biopython | LCG, UNAM | 2020 | Morelos, Mexico
Teaching assistant of Differential Equations II | LCG, UNAM | 2018, 2019 | Morelos, Mexico

Interests ✨

  • Genome-scale metabolic modelling
  • Rational strain desing
  • Bioprocess optimization
  • Teaching
  • Music