About me

Growing up in the Malaga province of Spain, I developed a keen interest in STEM fields, which led me to pursue a degree in Computer Engineering. It was during this time that I realised the potential of applying computational techniques to biological research. Fascinated by the possibilities of machine learning in biological research, I decided to pursue a PhD in Computational Biology.

During my PhD, I specialized in using ontologies to represent complex biological information. To broaden my expertise, I also completed an MSc in Molecular and Cell Biology and began a BSc in Health Engineering, which provided deeper insights into biological processes and systems.

After completing my PhD, I moved to Germany to work at EMBL Heidelberg, where I gained extensive experience with large-scale European projects, such as the EOSC pilot. My work on a demonstrator project there involved exploring the integration of cloud-based infrastructures in biological sciences. Additionally, my time at EMBL introduced me to the world of project management, particularly within the European project EOSC-Life, which I found to be a rewarding and engaging experience.

In a subsequent role, I had the opportunity to work as a community manager for the Galaxy project. This position allowed me to leverage my diverse skill set to support researchers in open source. Later, I started a new position in Euro-BioImaging where, in addition to leading outreach, dissemination, and training for the European project AI4Life, I designed the Euro-BioImaging Scientific Ambassadors Program and conceptualized an Expert Group for interdisciplinary FAIR image analysis workflows.

My experience in data science for biological analysis, cloud infrastructure, image analysis, and project and community management has given me a unique blend of technical and scientific skills. This enables me to understand the needs of interdisciplinary teams and contribute effectively to collaborative projects across the research landscape.