Background

My work sits at the intersection of medical anthropology, clinical AI safety, and systems engineering.

I started with ethnographic research on idioms of distress at King's College London, studying how people navigate health systems in practice.

I then trained in global public health at Imperial College London, focusing on structural gaps in care delivery.

In parallel, I've built production systems used by millions:

That arc now runs: fieldwork → production systems → clinical AI safety infrastructure and adversarial simulation.

Spärck AI Scholar — UCL (2026–)
The UK government’s inaugural AI scholarship programme, delivering on the AI Opportunities Action Plan. Named after pioneering British computer scientist Karen Spärck Jones. 100 scholars selected across 9 leading universities; 8 places at UCL. Full ride scholarship. Industry partners include the UK AI Security Institute, Faculty, Darktrace and Quantexa.

Speaking & Service

Technical AI Safety Conference — Presentation on cultural confabulation, Oxford (May 2026)
Skoll World Forum — Invited roundtable facilitator, Monitoring, Evaluation & Evidence for AI in CHW programmes (April 2026)
AIES 2026 — Malmö, Sweden (October 2026)
King's College London — Invited panellist, NHS Reform & Disability Rights, with Tom Shakespeare and MP Liam Conlon (December 2025)
ICML 2026 — Trustworthy AI Workshop — Programme committee reviewer

Community Health Impact Coalition (CHIC) — Research collaboration on AI evaluation and governance for community health worker programmes
King's College London — Pilot study on cultural confabulation with KCL Health Centre and Disability Society
The Alan Turing Institute — Clinical AI Interest Group, Public Health domain
BlueDot Impact — Main organiser of the Clinical AI Safety Network; connecting researchers, clinicians, and practitioners across healthcare, biosecurity and medicine with a shared interest in clinical AI safety.