Saez-Rodriguez Group

Systems Biomedicine

Martín Garrido Rodríguez-Córdoba

In 2015, I graduated from my Bachelor degree in Biochemistry at the University of Córdoba, a beautiful and sunny city in the south of Spain. The work developed during my bachelor thesis helped me to have my first contact with bioinformatics and made me decide that I wanted to specialize in computational biology applied to biomedical research.

For this reason, in 2016 I obtained my first Master degree in Translational Biomedical Research, also at the University of Córdoba. After this, in 2017, I moved to Madrid to pursue a second Master degree in Bioinformatics and Computational Biology at the National Institute of Health Carlos III. While studying for my master degrees, I also started working at innoHealth, a biotech company focused on providing new scientific solutions and services to the dermocosmetic market. Then, I returned to the University of Córdoba to pursue a PhD in Biomedicine under the supervision of Dr. Calzado and Dr. Muñoz at the Maimonides Biomedical Research Institute of Córdoba (IMIBIC), and of Dr. Dopazo at the Clinical Bioinformatics Area (CBA). In my thesis project, I focused on the development of new computational methods to perform the functional analysis of multi-omics data in different biomedical research contexts.

In June 2021, I joined Saez-Rodriguez group as postdoctoral researcher. In this position, I will work on the extraction of mechanistic knowledge from multi-omics data to overcome chemotherapy resistance in ovarian cancer within the framework of the DECIDER project, funded by the European Union (No. 965193).

Research Interests

My main research interest lies in how to extract mechanistic knowledge from large molecular data, with a special focus in protein-driven cellular signaling processes. Specifically, I am interested in methods that explore signaling using networks as a mathematical representation of real molecular events, and that allow us to simulate possible interventions over these processes. In my opinion, such models hold the key to unlock the personalized medicine of the future and will allow us to derive new treatments and biomarkers using a mechanistic basis. In addition, I am also interested in the “dark” area of biological knowledge, formed by the unknown processes that we normally can not include in our models, like signaling pathways cross-talks. Those comprise the most common cause of treatment failures in clinical setups, and although it is difficult to delve into them, doing it can be very beneficial in the long run.

Professional Career

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