Turning scientific ambition into predictive, scalable systems

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I advise life science, biotechnology, and public-health organizations on how to design, govern, and scale modern R&D systems where data, technology, and partnerships operate as a single, decision-making model rather than disconnected initiatives.

My work integrates strategic infrastructure, predictive R&D capability, and global governance, ensuring innovation translates into durable scientific and population-level impact. A senior strategic advisor who de-risks scientific innovation by designing the systems, governance, and evidence pipelines that make it executable at scale.

My advisory work is grounded in more than two decades of senior leadership within global pharmaceutical R&D, complemented by formal training in quantitative epidemiology, statistics, digital health, and health systems at Imperial College London. This combination allows me to design R&D infrastructure, AI-enabled workflows, and cross-sector partnerships backwards from evidentiary standards ensuring that digital innovation, real-world data, and external collaborations generate decision-grade evidence that stands up at clinical, regulatory, and population-health level.

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What this advisory is

  • One-to-one strategic guidance at senior decision points

  • Independent challenge and stress-testing of assumptions

  • Support on R&D strategy, predictive infrastructure direction, and partnership models

  • A confidential thinking partnership focused on clarity, judgement, and risk reduction

What this advisory is not

  • Operational delivery or programme management

  • Detailed technical design or implementation work

  • Ongoing coaching, mentoring, or team facilitation

  • A substitute for internal leadership, consultants, or vendors