Andrea Aparicio Castro

Andrea Aparicio Castro is a Research Fellow at the Oxford Population Health, part of the University of Oxford. She joined in 2024 to lead the development of statistical and computational Bayesian methods for population estimation in conflict and crisis zones, supporting humanitarian efforts.

• PhD in Social Statistics from the University of Manchester
• Accredited Teaching Fellow of the Advance Higher Education Institution
• Former Associate Lecturer at University College London and the National University of Colombia

Her research focuses on integrating traditional and novel data sources within the Bayesian framework to correct errors, impute missing data, and model demographic events like migration and mobility. She has worked on high-profile projects such as:

• EU-Horizon 2020 Future Migration Scenarios for Europe (FUME)
• Internal Migration in Latin America and the Caribbean (MIALC)
• International Migration in Latin America and the Caribbean (IMILA)
• Evidence for Equality National Survey (EVENS)
• Rapid Assistance in Modelling the Pandemic (RAMP)

Her publications emphasize migration forecasting, data smoothing, and pandemic impact analysis. Key trends include:

• Bayesian modeling for crisis-related population dynamics
• Integration of heterogeneous data sources
• Policy-relevant demographic forecasting

Scientific contributions and awards include:

• Fellow of the Higher Education Academy (FHEA)
• Honorary Research Fellowship at the University of Manchester