In 2017, I started my Bachelor studies in Biotechnology at the Technical University of Madrid, Spain. For my bachelor’s thesis, I worked in implementing machine learning methods to help guide medical treatments for colorectal cancer patients. In 2021, I moved to Heidelberg to pursue a Master’s degree in Systems Biology. As part of the programme, I did a first internship here, at the Saezlab, assessing the impact of transcriptomics analysis pipelines in the functional space, and a second internship at EMBL, where I analysed TF activity across bone marrow cell development. For my master’s thesis, I came back to the Saezlab to work in developing evaluation strategies for network contextualization methods.
In my past research experiences, I have mainly worked in omics data analysis, either via statistical models or via network contextualisation. I am particularly interested in using these data to help unravel biological mechanisms in order to explain patient outcomes or cell development, for example. The gap between biology and other STEM disciplines (maths, physics, informatics) is where I see myself in for my future career.
2023-2024 | Master Thesis at Saezlab, University Hospital Heidelberg |
2023 | Internship at Zaugg Group, EMBL |
2022-2023 | Research assistant at Klingmüller group, DKFZ |
2022-2023 | Internship at Saezlab, Universiy Hospital Heidelberg |
2022 | Research assistant at Schulze group, DKFZ |
2021-2024 | MSc Molecular Biosciences, major Systems Biology, University of Heidelberg |
2017-2021 | BSc Biotecnology, major Computational Biology, Technical University of Madrid |