Data science across academic and operational settings.

My work focuses particularly on artificial intelligence and multi-agent systems at the intersection of health, migration and crisis response. Across this research, I am interested in how computational systems can align with the mental models and operational constraints of expert decision-makers, increasing trust, interpretability and practical uptake. This has included national-scale public-health modelling in the UK alongside operational research in refugee, internally displaced and conflict-affected settings.

Before joining Bristol, I spent almost eight years working across the United Nations. Most recently, I led data science and technology work on information integrity within the UN Department of Peace Operations. Previously, I led the Data Science and AI team at UN Global Pulse, where my work included satellite-based crisis mapping, displacement modelling and public-health simulation.

My computational research is grounded in a PhD in Physics from Durham University, where I developed machine-learning approaches for accelerating complex particle-physics simulations.