Global AI Governance
Member, ICMRA AI Steering Committee · Chair, ISoP AI in Pharmacovigilance SIG
Fouda Pictures presents — a body of work
Directing artificial intelligence through the most regulated industry on earth.
A pharmacist turned AI architect, I work where medicine meets regulation — building systems that read, reason, and act across that divide. From safety-signal triage to citation-backed regulatory copilots, my productions turn oceans of clinical noise into decisions a regulator can trust.
Regulatory AI carries weight only when it survives real institutional, scientific, and patient-safety scrutiny — these are the rooms where the work has been tested.
Member, ICMRA AI Steering Committee · Chair, ISoP AI in Pharmacovigilance SIG
Director, SFDA Medication Error Department — national evaluation of medication names, labeling, and packaging to reduce look-alike/sound-alike risk
SDAIA × Stanford Hackathon Champion (first-place ML model) · The Eye Hackathon Top 4 Finalist
Distinguished project, SFDA Regulatory Research Day 2024 · Reviewer, Pharmacoepidemiology & Drug Safety and Vaccine
Journal of Evaluation in Clinical Practice · 31(3):e70062 · First author
Automated prioritization of safety signals, reducing manual triage time by 40%.
Flask · Gemini · Data Viz
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Streamlined signal detection with multi-agent analysis and visualization.
Flask · LangChain · OpenAI
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Citation-backed regulatory intelligence for confident decision making.
Flask · OpenAI · RAG
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Accelerated benchmarking of regulatory documents against gold standards.
GPT-4 · PDF · Flask
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Guiding organizations through the adoption of AI in regulated healthcare environments.
Designing scalable, compliant regulatory tech stacks.
From concept to deployment: building RAG pipelines, agents, and predictive models for health data.
Review and consensus work carried out with international pharmacovigilance bodies. Entries with a published DOI link straight to it.
International working group “Global Perspective on the Evolution and Future of Pharmacovigilance: Deliverables from the 24th Annual Meeting of the International Society of Pharmacovigilance” ↗ Drug Safety · 49(7):733–745 · 2026
International working group “9th ISoP Intelligent Automation Boston Seminar — From Innovation to Impact: Building Trustworthy AI in Pharmacovigilance” ↗ Drug Safety · 49(6):729–731 · 2026
Signal review“Transverse Myelitis Associated with Tozinameran Use: Adverse Events-Signal”
Pharmacoepidemiology and Drug Safety · 2024
Thirty minutes, one agenda: your regulated-AI challenge and how we turn it into a production. Pick a seat — the calendar below is live.
Paste an excerpt of a regulatory document—safety report, labelling text, procedure—and the Script Doctor will analyse it for regulatory implications and suggest next steps.
Do not paste confidential, patient-identifiable, or commercially sensitive text. Excerpts are sent to OpenAI for processing and leave this server. This site does not intentionally retain them; OpenAI handles them under its own data-retention terms.
Analyses are for informational purposes only and do not constitute legal or regulatory advice.
Have a regulated-AI problem worth a feature film? Send the script.