Selected evidence

Roche / GOSH AI leadership

Led multiple healthcare AI workstreams across strategy, delivery, and stakeholder alignment in complex regulated settings.

Genomics NLP to FHIR pathway

Built an end-to-end pipeline from PDF genomics reports to structured FHIR outputs and clinician-facing decision support.

Clinical ML deployment pathway

Advanced CKD progression modelling toward real-world clinical deployment with focus on usability, safety, and adoption.

Enterprise GenAI & compliance RAG

Delivered internal LLM/RAG capability for compliance and policy support with practical governance considerations.

How I can help

For organisations hiring for AI leadership where delivery, stakeholder trust, and operating constraints matter.

  • Applied AI Lead / Head of AI: shape portfolio, prioritise use cases, and establish delivery and governance rhythm.
  • AI Solutions or Clinical AI Lead: turn complex data and workflow constraints into usable decision-support products.
  • Principal / Lead Data Scientist: connect modelling depth with product, integration, and operational adoption.
  • CTO-trajectory roles: build practical AI capability across platform, product, team, and stakeholder layers.

Explore

Selected Work

Case studies on clinical AI, NLP, interoperability, enterprise GenAI, and analytics automation.

Speaking & Publications

Talks, panel contributions, publications, mentoring, and UCL honorary supervisory activity.

About

Background, leadership style, and practical approach to delivering AI in high-stakes environments.