I work at the intersection of biotechnology, artificial intelligence, data governance, and precision medicine, helping governments, hospitals, and health organizations transform fragmented biomedical data into integrated, decision-ready systems that improve population health outcomes. As Scientific & Data Officer for the Genetics division at Origen Biotech Corp., I define scientific and data strategy at the convergence of genomics, clinical data, and applied machine learning, translating complex biomedical problems into deployable technological solutions for the Health & Life Sciences ecosystem. My work connects scientific research, data engineering, and product development. I integrate multi-omic datasets with Whole Genome Sequencing (WGS) to investigate disease mechanisms and develop machine learning and deep learning models for high-resolution disease profiling, image-based diagnostics, and biomedical signal interpretation. These models generate clinically actionable insights that support decision-making, including pharmacogenetic treatment optimization. Core areas of work include genomic, epigenetic, and clinical data integration; design and clinical validation of machine learning models; scalable architectures for omics data processing; MLOps pipelines for continuous model evaluation; and data governance frameworks for responsible AI in healthcare. Our approach combines bioinformatics expertise with specialized biomarker measurement partners. Predictive models are continuously validated by a multidisciplinary scientific committee and updated with emerging evidence from non-coding genomic regions and spatial transcriptomics, enabling discovery of tissue-specific biomarker patterns. Through collaboration with a leading cloud provider, where I serve as Product Owner for the Health & Life Sciences line, I help develop precision medicine platform that generate personalized recommendations from genomic data, identify biological aging profiles, and support targeted longevity interventions. A domain-specific scientific crawler continuously updates our genomic "knowlake" base with peer-reviewed research. I also contribute to public sector projects, hospital collaborations, and biotech initiatives, delivering training on practical machine learning and computer vision adoption and participating in technical strategy discussions with institutional stakeholders. The objective: extend diagnostic capabilities beyond conventional limits, enable personalized therapies, and improve clinical outcomes.

Holder of a U.S. Bachelor of Science in Medicine, validated as equivalent to EQF Level 7 in the European Qualifications Framework, with credentials evaluated under AACRAO and USCIS (Department of Homeland Security) standards, a certified ML Engineer and member of IAAA, LatinXAI, and the Spanish Society of Genetics, I work globally, consulting speaking, and building solutions that bring my vision of truly human-centered healthcare to life. A lifelong interest in music, inspired me to help nurture Meloom, a company to take music learning to a higher level, help improving health and wellbeing.