Zixuan Liu –

Fellow

Zixuan is a postdoctoral researcher in Artificial Intelligence for Collective Intelligence Hub. His research focuses on spatial and spatiotemporal methods for infectious disease modelling, forecasting, nowcasting, anomaly detection, and public health decision support. He is particularly interested in using machine learning and epidemiological models to understand how outbreaks spread across locations, recover underlying spatial structure from epidemic data, and support real-time preparedness and response. His broader research experience includes collective decision-making under uncertainty, multi-agent systems, evidence fusion, and the development of practical decision-support tools.