If you are looking for a summary of my professional journey beyond the links around (LinkedIn, Google Scholar or GitHub, maybe), here are the highlights:

• Since 2018, I have been contributing to the annotation of the human genome in collaboration with institutions like MIT, Stanford University, King’s College or Yale University. My AI model for predicting functional protein annotations remains in active use by the community. Check it out here.
• I completed my PhD at the Spanish National Cancer Research Centre (CNIO) within the Bioinformatics Unit.
• I designed and implemented from scratch the first Machine Learning in Healthcare course ever taught at a Spanish university in 2021 at Universidad Carlos III de Madrid.
• Between 2022 and 2025, I have led a project under the EIC Accelerator framework focused on AI algorithms-driven arrhythmia prediction. Some info here.
• In 2024, I was appointed by the Spanish Ministry of Defense to represent Spain at NATO, specializing in Explainable AI for complex autonomous systems.
• I have driven clinical research in precision oncology, specifically leveraging Big Data to identify biomarkers that predict therapeutic efficacy in non-small cell lung cancer (NSCLC) patients.
• I have served as a lecturer in AI, bioinformatics, and computational methods at UCM, U. Francisco de Vitoria, UC3M, Universidad Europea, and U. Camilo José Cela.