Multi-omic data integration
Genomic, epigenetic and clinical data integrated with Whole Genome Sequencing (WGS) to investigate disease mechanisms and build high-resolution disease profiles.
00 / jpML · SmartInsights
Precision biotech frameworks for multilayered disease profiling.
Architecting systems that leverage AI (ML), computer vision and multi-omic data integration — delivering customized solutions that enhance clinical diagnostics, strengthen patient autonomy and empower decision-making by HCLS institution leaders.
- Discipline
- Medicine & Systems Informatics
- Focus
- Genomics · ML · Precision medicine
- Scope
- Governments · Hospitals · Biotech
Institutions, hospitals and biotech collaborations
01 / About
“I believe biotech and healthcare should put people first — using technology not to replace human care, but to deepen it.”
I am CSciO (Chief Scientific Officer) at Origen Genetics. My daily work combines personalized medicine, machine learning, Panomics, computer vision and AI to restore the essence of the doctor–patient relationship while delivering precise, evidence-based and affordable care. Trained in Medicine and Systems Informatics, I began by supporting health and life sciences startups, discovering the transformative power of AI (ML) in real-world healthcare.
Today I translate cutting-edge technologies into practical, explainable tools that physicians and health institutions can apply every day — turning reactive care into measurable prevention, freeing clinical time for what matters, and equipping health-system leaders to modernize care delivery at scale. My approach is pragmatic and data-driven: prevent early, diagnose better, and empower both sides of care.
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. I work globally — consulting, speaking and building solutions that bring a vision of truly human-centered healthcare to life.
Approach
“The goal is not to replace the physician, but to give them superpowers — turning fragmented data into clear, actionable insight.”
Every framework I build is designed to restore clinical time, deepen patient trust, and scale precision care responsibly.
Credentials & memberships
- 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.
- Certified Machine Learning Engineer. BigML certification
- Member of IAAA — International Association of Algorithmic Auditors. iaaa-algorithmicauditors.org
- Member of LatinX in AI. latinxinai.org
- Member of the Spanish Society of Genetics. segenetica.es
- Specialization in biotechnology. Verify
- Certification in precision medicine. Verify
02 / Expertise
Core areas of work
Bioinformatics expertise combined 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.
Machine learning & computer vision
Design and clinical validation of machine learning and deep learning models for image-based diagnostics and biomedical signal interpretation.
Scalable omics architecture
Scalable architectures for omics data processing, and MLOps pipelines for continuous model evaluation as evidence changes.
Data governance & responsible AI
Governance frameworks for responsible AI in healthcare, with predictive models validated by a multidisciplinary scientific committee.
Precision & pharmacogenetics
Clinically actionable insight that supports decision-making, including pharmacogenetic treatment optimization.
Institutional enablement
Training on practical machine learning and computer vision adoption, plus technical strategy discussions with institutional stakeholders.
03 / Work
Selected roles and projects
Origen Biotech Corp — Genetics
Scientific & Data Officer
Defining scientific and data strategy at the convergence of genomics, clinical data and applied machine learning — translating complex biomedical problems into deployable technology for the Health & Life Sciences ecosystem.
Precision medicine platform
Product Owner, Health & Life Sciences
With a leading cloud provider, developing a platform that generates personalized recommendations from genomic data, identifies biological aging profiles and supports targeted longevity interventions.
Care Integration Modules at population scale
Public Electronic Health Record — SERGAS
Orchestrated AI-driven modules embedded across chronic and oncologic care pathways: reconciling multi-source clinical data into a real-time 360° patient view, surfacing guideline-concordant decision support and automating administrative workflows.
Genomic knowlake
MLOps & knowledge infrastructure
A domain-specific scientific crawler continuously updates the genomic knowledge base with peer-reviewed research, keeping models aligned with emerging evidence.
Public sector & hospital collaborations
Consulting, training, strategy
Contributions to public sector projects, hospital collaborations and biotech initiatives — helping governments, hospitals and health organizations turn fragmented biomedical data into decision-ready systems.
Meloom
Supporter & advisor
A lifelong interest in music led to helping nurture Meloom, a company taking music learning to a higher level and supporting health and wellbeing.
Ecosystem & collaborations
05 / Contact
Extend diagnostic capability beyond conventional limits.
Available for consulting, speaking and institutional collaboration across biotechnology, AI and precision medicine.