Applied AI strategy and delivery
Prioritising opportunities, shaping delivery plans, and moving AI work from concept to deployed capability — grounded in strong data engineering and architecture.
Applied AI leader turning complex challenges into deployed systems.
PhD · Alan Turing Institute · Roche / GOSH · 10+ years in data science and AI
I bridge strategy, product, stakeholder leadership, and technical depth to deliver AI, machine learning, and data science capability across healthcare and other complex environments.
How I can help
Clinical and regulated AI
Supporting high-stakes environments where interpretability, governance, interoperability, and adoption matter.
AI product and RAG delivery
Leading enterprise AI products including retrieval-augmented systems, operational controls, and delivery into real workflows.
Cross-functional AI leadership
Aligning domain experts, product leads, data scientists, engineers, and decision-makers around outcomes.
Evidence highlights
Roche / GOSH applied AI leadership
Led multiple AI workstreams in a regulated paediatric setting across clinicians, technical teams, product leads, and decision-makers.
Genomics NLP pipeline
Built a pathway from PDF reports to FHIR mapping and clinician dashboard integration, with an 80% reduction in manual review time.
Clinical ML with interpretability
Co-led CKD progression modelling with XGBoost as the best model at F1 0.72 and ROC AUC 0.80.
Enterprise RAG / LLM product
Delivered an enterprise assistant with governance and traceability requirements for approximately 1,500 users.
Operational analytics products
Delivered Cancer Wait Times automation and an MS prescribing analytics app to improve repeatability and operational use.
Representative experience spans clinical ML, genomics NLP, interoperability, enterprise RAG, operational analytics, and AI delivery in regulated environments.
Where I'm strongest
- Senior applied AI leadership roles where strategy, technical direction, and delivery need to come together
- Clinical or regulated AI programmes where trust, interpretability, and adoption matter
- AI product and platform roles with strong ownership across roadmap, delivery, and stakeholders
- Specialist advisory support for organisations moving from AI experimentation to real implementation
Who I help and what I solve
- Who I am: Applied AI leader focused on turning complex challenges into deployed systems.
- What I do: I combine strategy, product thinking, technical depth, and delivery leadership.
- Where I work best: Regulated healthcare, enterprise AI, operational analytics, and decision-support.
- What I solve: Deployment, adoption, governance, interoperability, interpretability, and cross-functional execution.
Why organisations bring me in
- when AI needs to move beyond proof of concept
- when delivery depends on aligning technical and non-technical stakeholders
- when trust, governance, interoperability, or interpretability matter
- when product, platform, and model decisions need to work together
- when the organisation needs both technical credibility and delivery leadership
Let’s discuss the right fit
I am open to conversations about senior applied AI roles, advisory work, speaking, and high-impact delivery programmes.