London, England, United Kingdom
I am a Clinical Lead and Strategist operating at the intersection of Health and Generative AI. Currently at Google, I lead the clinical evaluation strategy for large language models (LLMs) in health. My core focus is solving the "Safety vs. Velocity" paradox: how do we deploy powerful AI tools into healthcare without compromising clinical rigor? What I do: GenAI Governance: I define the "Constitution" for health AI—establishing what "safe" looks like for foundation models before they reach an end user. Scaled Operations: I built and now direct a global workforce of clinical experts who validate AI performance, creating the "human-in-the-loop" infrastructure required for high-stakes deployment. 0-to-1 Methodology: I specialize in developing novel evaluation frameworks for subjective and nuanced medical domains (e.g., Nutrition, Mental Health) where standard benchmarks fail. Trained at Oxford University with a background in Paediatrics (MRCPCH). I bridge the gap between clinical reality and engineering ambition, supported by executive leadership training at Harvard Business School.
Leading the clinical governance and operational strategy for Health AI evaluation. Clinical Workforce Leadership: Established and currently direct the 'Health Expert Services' function—a centralized, scalable clinical workforce conducting human-in-the-loop evaluation for health-related use of Google's models. Strategic Governance: Partner with Research and Product leadership on safety policies and "ship criteria" for foundation models (LLMs) in health domains. Novel Evaluation: Designed and validated the evaluation methodology for complex, high-nuance domains (including Nutrition and Mental Health), enabling safe deployment in ambiguous categories.
Working with clinician team on implementation of Google DeepMind technology in healthcare settings.
Paediatric Intensive Care
Neonatal medicine, General Paediatrics and A&E
General Paediatrics and Neonates