Andre Amaral

Dr André V. Ribeiro Amaral is a Lecturer in Statistical Learning at the School of Mathematical Sciences, University of Southampton. His research focuses on spatio-temporal statistical methods for environmental and public health applications, including Bayesian computation and machine learning for infectious disease modeling.

• PhD in Statistics from KAUST (2023)
• MSc in Statistics from UFMG (2020)
• Previous Research Associate at Imperial College London (2024–2025)

Key research themes include:

• Computationally tractable spatio-temporal models
• Bayesian inference for complex datasets
• Machine learning integration in statistical frameworks
• Applications to epidemiology and environmental science

His methodological work spans data fusion, preferential sampling correction, and disease spread dynamics, with recent publications on dengue fever nowcasting and Antarctic krill abundance modeling.

Teaching:

• Co-teaching Statistical Modelling II (MATH3091)