Biotechnologist by training, I rapidly transitioned to computational biology driven by my passion for computers and mathematics. My scientific career started with an internship at the group of Dr. Dopazo, which drag me to the thrilling field of systems biology. During my time at Dopazo’s group, I successfully developed a system-level tool based on boolean approaches. PathiVar considers the expression pattern of different tissues to assess the impact of individual genomic variants in the ability of relevant signalling pathways to transmit their signals. As my interest for modeling was growing, I started questioning myself about how dynamical behaviours could influence our perception of biological systems. Thus, I decided to join Csikász-Nagy’s group to pursue my PhD in Computational Biology. My doctorate project was focused on developing minimal networks holding key biological behaviours, switches and timekeepers, with evolutive implications in the dynamics of well-know biological process as the circadian clocks and the eukaryotic cell cycle. In 2019, I joined Sáez-Rodríguez’s group at Heidelberg University (BioQuant) as a postdoctoral researcher to work on the European Project individualizePeaediatricCure (IPC). The iPC consortium aim is to address effective personalized medicine for children with cancer through computational approaches.
From a single cell to a complete whole organism, biological systems show themself as complex system-level structures. Developing accurate system-level computational models helps to unveil how biological systems work. This is the first step to allowing effective and reliable predictions of their behaviours. I am interested in developing system-level models through the integration of diverse layers of celular information (multi-omics data) to give valuable and reliable answers on personalised medicine. From how the same treatment for a disease like cancer have such a diverse efficiency based on the person, to contribute in the search of potential therapeutic drug targets that increases the probability of survival of a patient and reduce their side effects.
|2019-Present||PostDoctoral researcher at Sáez-Rodríguez’s group, BioQuant, UniversitätsKlinikum Heidelberg, Heidelberg, Germany|
|2015-2017||Computational Biologist at Csikász-Nagy’s group, Randall Division of Cell and Molecular Biophysics, King’s College London, London, UK|
|2011-2014||Bioinformatician at Principe Felipe Research Center, Valencia, Spain|
|2015-2017||Marketing Director at Innovation Forum London, London, UK|
|2013-2014||Business Development Director at Spanish Federation of Biotechnologists, Spain|
|2015-2018||Ph.D. in Computational Biology, King’s College London, London, UK (Supervisors: Dr. Attila Csikász-Nagy and Prof. Luca Cardelli)|
|2012-2014||M.Sc. in Bioinformatics, Universitat de València, Valencia, Spain|
|2008-2012||B.Sc + M.Sc. in Biotechnology, Universitat Politècnica de València, Valencia, Spain|