jpML

SmartInsights.

Architecting precision biotech frameworks that leverage AI (ML), Computer Vision, and multi-omic data integration for multilayered disease profiling—delivering customized solutions that enhance clinical diagnostics, strengthen patient autonomy, and empower decision-making by HCLS institution leaders.

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As an e-Health Consultant (jpML), I am committed to develop personalized, evidence-based interventions that enhance patient outcomes and improve the affordability and efficiency of healthcare for patients across all types of institutions. The formula: personalized medicine, machine learning, panomics, computer vision and AI applications in healthcare. I aim to achieve this goal based on a (scientific) vision of studying & understanding disease.

My background in Medicine and Systems Informatics led me to support healthcare and life sciences tech startups at a consulting firm and discover ML in its "early" days. I also helped nurturing Meloom, a company that leverages the power of music to improve human health and wellbeing, while learning to play an instrument.

Nowadays, at Origen Biotech Corporation, I lead the strategic development of our Genetics division, pioneering precision and personalized medicine through our propietary platform. By integrating advanced genetics, AI, and cloud‒based technologies, we are shaping the future of healthcare with intelligent, holistic, tailored solutions. I collaborate with a talented team of Project Managers, Senior Full Stack Developers, Scientists, Business Strategists, Marketing Specialists and more, to drive innovation in healthcare but also securing funding for impactful investigation projects. My work integrates a scientifically validated holistic approach to disease profiling, leveraging multi-omics (genomics, epigenetics, microbiomics, proteomics) through a transparent efficient filter, (ML), to deliver comprehensive+useful health insights. I have cultivated impactful collaborations across the biotech industry, partnering with experienced primary care clinicians, longevity clinicians, molecular biology companies, private hospitals, precision clinics, health insurers, startups and public institutions. These engagements encompass a broad spectrum of expertise, including big data, supercomputing, genetics, cybersecurity, sports or general AI applications in healthcare, reflecting a strategic approach to advancing innovation and fostering meaningful connections.

I design and deploy end-to-end health solutions that span the full MLOps lifecycle—from building robust data pipelines and real-time predictive models (including computer vision) to engineering dynamic "Knowlakes" in collaboration with medical specialists, creating secure, dynamic data reservoirs, to generate precise, actionable insights. By integrating advanced machine learning, computer vision and genomics+epigenetics into clinical workflows, I ensure seamless, data-driven decision-making. Professionals gain live insights that empower them in their daily medical decisions while certifying their data management practices. Additionally, patients are empowered with control over their health data and access to a transparent quality measure of the professionals available, enhancing trust and overall care standards. I prioritize delivering a professional-grade user experience, with intuitive interfaces and scalable, in-production solutions, so we work toward:

1. Restoring the essence of the MD-patient relationship, grounded in genuine "humanship" while searching for excellence.

2. With this pragmatic, data‒driven approach, I strive to enhance well-being through early diagnosis, prevention, and empowering healthcare professionals and patients alike.

3. By integrating cutting-edge solutions, the ultimate goal is to transform healthcare institutions into forward-thinking hubs of innovation, enhancing decision-making, ensuring certified data quality, and enabling rigorous efficacy evaluation to deliver superior care.

I´m a certified ML Engineer and completed my studies on Medicine + one academic year of CIS to enrich my knowledge foundation. I continuously expand my knowledge in my fields of interest, with professional certifications in: longevity medicine, precision medicine, microbiome, omics, industrial biotechnology, drug development, Disease Modeling and Target Discovery, machine learning, Deep Learning, IoT, GraphQL, MLOps, Containerized APPS ,Ethics and governance in AI, or Computer Vision at different Institutions, such as NIH, AWS, Stanford, BigML, Google, LMH, BUCK, Vanderbilt, UCSD, UOM, UCB, Insilico Medicine & WHO among other institutions & companies.

I'm a Member of the International Association for Algorithmic Auditors (IAAA), a global community shaping the future of Responsible AI. The IAAA sets standards, certifies best practices, and fosters collaboration to ensure transparent, fair, and accountable AI systems. Additionally, as a writer, I contribute to LatinXAI, a global community of IT professionals based in San Francisco, dedicated to empowering (Hispanic/Latin) individuals in AI through research, development, mentorship, and infrastructure support. I'm as well member of the Spanish Society of Genetics.

Below are some of the companies and institutions I have founded, collaborated with, worked for, or supported through my consultancy services — including those that have invited me to deliver specialized courses on machine learning or AI ethics: