I have spent more than 20 years working independently with life-sciences organisations on GxP compliance and computerised-system and software validation across Europe, MENA and APAC.

My work has included supporting the implementation of process equipment and integrated software, working with vendors and project teams, and helping organisations prepare systems, documentation and processes for FDA, EU and local regulatory inspections.

As AI began to reshape healthcare and life sciences, I completed an MSc in Data Science & Artificial Intelligence and moved into healthcare-AI research and projects, including work on explainable AI in dementia. My dissertation was reviewed by an academic panel at the University of London; the research paper and supporting code are available on GitHub.

HealthyData.Science grew from that combination of regulated-systems experience and AI research. It is an independent, evidence-led resource designed to help healthcare, pharma, biotech, medtech and clinical-research teams understand AI tools, clarify relevant use cases and ask better evaluation questions before deployment.

The aim is practical: to distinguish what a technology is designed to do, what evidence supports it, and what still needs to be demonstrated in a real workflow.

Explore the research and explainer videos: Research page
Read the sourcing and independence approach: Trust & Editorial Policy
View the research paper and supporting code: ORCiD Profile