The Mission

Agentic AI in Biopharma

Senior officer,
board member and
AI leader in biotech.

20+ years in biopharma spanning journalism, entrepreneurship, operations, and strategic communications. Building autonomous AI agent systems that run entire biopharma functions — because the future of drug development is not more headcount, it is better architecture.

The Focus Areas

Where AI Meets Drug Development

Covering the intersection of agentic systems, biopharma operations, and governance

Agentic AI in R&D

Autonomous systems that run end-to-end drug discovery workflows — target identification, compound screening, and candidate optimization without human-in-the-loop bottlenecks.

CMC & Manufacturing

AI agents managing chemistry, manufacturing and controls documentation, batch records, and regulatory submissions — turning months of work into days.

Clinical Trials

Intelligent systems for protocol design, site selection, patient recruitment, and real-time safety monitoring that compress clinical timelines significantly.

AI Governance

SOX compliance frameworks, board-level AI oversight, and audit committee guidance for public biotech companies deploying autonomous systems.

Regulatory AI

Generative AI applications in FDA and EMA submissions — from NDA writing to real-time Q&A with regulatory agencies using AI-powered knowledge bases.

Investor Relations

How AI is reshaping biopharma IR — from earnings call preparation to real-time pipeline intelligence and competitive landscape monitoring.

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