André Amaral is a statistical learning researcher and lecturer with eight years’ experience bridging spatio-temporal statistics and applied data science. He completed a PhD in Statistics at KAUST and has held research roles at Imperial College London before joining the University of Southampton as Lecturer in Statistical Learning. His work focuses on modeling complex spatio-temporal processes and he frequently collaborates with domain experts to translate methodological advances into practical analyses. Trained originally as an industrial engineer, he brings a pragmatic, systems-oriented perspective to statistical problems and an active interest in data science technologies. Based in Belo Horizonte and the UK, he blends rigorous academic research with teaching and interdisciplinary collaboration.
8 years of coding experience
4 years of employment as a software developer
Ph.D. in Statistics, Statistics, Ph.D. in Statistics, Statistics at KAUST (King Abdullah University of Science and Technology)
The Pontifical Catholic University of Minas Gerais
M.S. in Statistics, Statistics, M.S. in Statistics, Statistics at Universidade Federal de Minas Gerais
Visiting Student, Visiting Student at Curtin University
Contributions:27 pushes, 1 branch in 2 years 9 months
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