Martín Garrido Rodríguez-Córdoba
I started my professional journey in 2015 with a Bachelor’s degree in Biochemistry from the University of Córdoba in Spain, my hometown. During my undergraduate thesis, I got my first taste of computational biomedical research, sparking my passion for the field. In 2016, I earned a Master’s degree in Translational Biomedical Research, followed by another Master’s in Bioinformatics and Computational Biology. During my studies, I gained practical experience at innoHealth, a biotech company, where I honed my computational skills in an industrial setting.
Afterward, I returned to Córdoba to pursue a Ph.D. in Biomedicine at the University. My Ph.D. work focused on developing innovative computational methods to analyze transcriptomics and proteomics data in various biomedical research contexts. Upon completing my Ph.D., I joined the Saez-Rodriguez team as a Postdoctoral Researcher. In my first year, I secured a fellowship from the AI Health Innovation Cluster, allowing me to continue my research in a collaborative framework between the Saez-Rodriguez team (Heidelberg University) and the Savitski team (EMBL). In 2023, I was also appointed as a Research Area Leader within the Saez-Rodriguez group, providing me with valuable managerial and coordination experience on various lab projects.
https://orcid.org/0000-0003-4125-5643Research Interests
My primary research interest is to gain a deeper understanding of molecular mechanisms underlying disease and drug response through the analysis of large molecular datasets. I achieve this by integrating existing biological knowledge with data-driven approaches. In the realm of systems biology, my focus centers on proteins and their role in signaling processes. This is why most of my projects revolve around the analysis and interpretation of transcriptomics and proteomics data. From a technological perspective, I am mostly interested in the downstream analysis and exploitation of functional proteomics data. Functional proteomics techniques, such as phosphoproteomics and thermal proteome profiling, allow the identification and measurement of targets, off-targets and downstream signaling events following perturbation of a biological system. Currently, my main focus lies on how to combine these powerful data modalities with prior knowledge via network models, in order to formulate mechanistic molecular hypotheses.
Professional Career
| 2023-Present | Research Area Leader, Institute for Computational Biomedicine, Heidelberg University, Germany |
| 2022-Present | Postdoctoral fellow, European Molecular Biology Laboratory (EMBL), Germany |
| 2021-Present | Postdoctoral researcher, Institute for Computational Biomedicine, Heidelberg University, Germany |
| 2017-2021 | Research associate, Maimonides Biomedical Research Institute of Córdoba (IMIBIC, Córdoba) and Clinical Bioinformatics Area (CBA, Sevilla), Spain |
| 2016-2019 | Bioinformatician, InnoHealth, Madrid, Spain |
Education
| 2017-2021 | PhD in Biomedicine, University of Córdoba, Córdoba, Spain |
| 2016-2017 | MSc in Bioinformatics and Computational Biology, National Institute of Health Carlos III, Madrid, Spain |
| 2015-2016 | MSc in Translational Biomedical Research, University of Córdoba, Córdoba, Spain |
| 2011-2015 | BSc in Biochemistry, University of Córdoba, Córdoba, Spain |