Andrew Zammit-Mangion

Andrew Zammit-Mangion completed his PhD at the University of Sheffield, UK, in 2012, and is currently Associate Professor at the School of Mathematics and Applied Statistics at the University of Wollongong, Australia. His key interests lie in spatial and spatio-temporal models, and the inferential tools that enable their use in environmental applications. He has published extensively on several topics in this area, including dynamical spatio-temporal modelling; spatio-temporal point process modelling; Bayesian hierarchical modelling; multivariate spatial modelling; and approximate Bayesian inference. He has also released software packages that facilitate spatial and spatio-temporal modelling. Andrew has worked extensively in two subfields of the geosciences: (i) Antarctic processes and their contribution to sea-level rise, and (ii) trace gases and their transport in the atmosphere. His work in (ii) has contributed to a framework for estimating carbon dioxide sources and sinks from satellite data (coined WOMBAT – the WOllongong Methodology for Bayesian Assimilation of Trace-gases) that is the recipient of a 2023 prize by the Section of Statistics in Physical Engineering Sciences (SPES) of the American Statistical Association (ASA), the 2023 Outstanding Statistical Application Award, also by the ASA, and the 2022 Mitchell Prize, by the International Society for Bayesian Analysis (ISBA). Recently, Andrew has also been looking at novel ways to combine deep learning models with spatio-temporal models, and at ways to use AI to accelerate inference with these models.
Andrew was awarded the Cozzarelli Prize Class III (Best PNAS paper in Engineering and Applied Sciences) by the National Academy of Sciences of the US in 2013, a Discovery Early Career Research Award by the Australian Research Council in 2017, the Abdel El-Shaarawi Young Researcher’s Award by The International Environmetrics Society in 2020, and the Early Investigator Award by the Section of Statistics and the Environment of the American Statistical Association in 2022. He is currently a member of NASA’s Orbiting Carbon Observatory-2 (OCO-2) Science Team, and in 2019 he published a co-authored book with Distinguished Professors Christopher Wikle and Noel Cressie on spatio-temporal modelling with R.

Related sessions

14 February 2024

Fast statistical inference with neural networks and amortisation: Golden ticket or red herring?

09:00 - 10:15 CET Geneva | 03:00-04:15 EST, New York | 16:00-17:15 CST, Beijing

Andrew Zammit-Mangion (University of Wollongong), Gustau Camps-Valls (Universitat de València)

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Andrew Zammit-Mangion

Andrew Zammit-Mangion

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