Consulting
29 years in pharmaceutical market research. Now helping insights teams implement AI that actually ships.
The Challenge
I've been on both sides — leading AI initiatives inside pharma and building AI applications from scratch. Most pilots fail for predictable reasons.
Services
Assess current capabilities and gaps. Identify high-value, low-risk starting points. Build the business case that gets funded.
Navigate governance and compliance requirements. Coordinate across IT, legal, and business stakeholders. Design workflows researchers will actually use.
AI system design and prompt architecture for market research applications — from system message engineering to multi-model orchestration. Vendor evaluation and selection. Training and change management.
Expertise
29 years in pharmaceutical market research — Regeneron, Amgen, Pfizer. I speak your language and understand your constraints.
Led AI initiatives inside a large pharma company. I know why pilots stall at governance, and how to prevent it.
Recently built a production AI application from scratch — dual-platform (web + mobile), multi-model orchestration, dynamic prompt systems, and verification architecture. Built it myself, not managed it. That's the difference.
Experience
Nearly three decades in pharmaceutical market research. I've led insights for billion-dollar portfolios, supported FDA priority reviews for first-in-class therapies, and built the research frameworks that shaped launch strategies — including one an external agency called "the most comprehensive and most crisp" they'd ever seen.
Before corporate, I ran my own consultancy for fourteen years. Fortune 500 pharma clients. 95% retention. 15x ROI. The kind of relationships where you become the first call when something complex needs solving.
Earlier: contributed to launches that hit blockbuster status in year one. Built market research capabilities from scratch in new markets. Co-founded a tech startup and made the Forbes Top 50 list.
I've also pushed enterprise AI initiatives through governance, legal, and IT — and learned exactly where they stall. Then I built something myself: a production AI application, web and mobile, multi-model orchestration, verification systems. Months of work, shipped independently. That's where the perspective comes from.
UC Berkeley (AI) · MIT (Digital Transformation) · Wharton (Marketing Analytics) · ESG Paris (International Marketing)
English · French · Arabic
Connect
If you're past the AI hype but stuck before results, I'm happy to have a conversation. No pitch, just problem-solving.