Data science for decision support in crises.

My core research programme focuses on developing methods for modelling crises as connected socio-technical systems. This includes both applied and application-motivated theoretical research. Specifically, my work examines how to combine modelling approaches to understand how both sudden-onset shocks and longer-term pressures - from extreme weather and conflict escalation to the longer term implications of humanitarian emergencies or climage change. I study how these processes affect population displacement, disease dynamics and the delivery of aid and critical services. Modelling is only part of the challenge, building systems for decision support that integrate into decision-making workflows makes system design a core research question. This research leverages AI, agent-based modelling and simulation, and draws on data from a wide array of sources to understand societal responses in crisis contexts more holistically.