Andrew Zammit Mangion
Publications :Publication List (sourced via UOW Database)
Zammit-Mangion, A., Cressie, N., Ganesan, A. L., O'Doherty, S. & Manning, A. J. (2015). Spatio-temporal bivariate statistical models for atmospheric trace-gas inversion. Chemometrics and Intelligent Laboratory Systems, 149 227-241.
Zammit-Mangion, A., Bamber, J. L., Schoen, N. W. & Rougier, J. C. (2015). A data-driven approach for assessing ice-sheet mass balance in space and time. Annals of Glaciology, 56 (70), 175-183.
Zammit Mangion, A., Rougier, J., Schoen, N., Lindgren, F. & Bamber, J. (2015). Multivariate spatio-temporal modelling for assessing Antarctica's present-day contribution to sea-level rise. Environmetrics, 26 (3), 159-177.
Zammit-Mangion, A., Rougier, J., Bamber, J. & Schoen, N. (2013). Resolving the Antartic contribution to sea-level rise: a hierarchial modelling framework. Environmetrics, 25 (4), 245-264.
Mangion, A. Zammit., Dewar, M., Kadirkamanathan, V. & Sanguinetti, G. (2012). Point process modelling of the Afghan War Diary. Proceedings of the National Academy of Sciences (PNAS), 109 (31), 12414-12419.
Current Positions:Statistical Computing Scientist (Senior Research Fellow)
Research Interests:My research interests lie in spatial and spatio-temporal modelling and the tools that enable it. In previous work, I have focused on variational Bayesian methods for approximate inference of spatio-temporal log-Gaussian Cox process models. These methods were successfully applied in conflict modelling and, in more recent research, I am working on approximate message passing algorithms in this context. In other related previous work, I have used well-established approximations to spatio-temporal multivariate processes to assess the Antarctic contribution to sea-level rise. For project details please see here. The project involved fusing multiple data products (from diverse satellites and research groups) through the use of a large-scale spatio-temporal model. Work here involved the use of the message-passing interface on a high-performance computer, parallel Gibbs sampling methods, sparse-matrix methodologies and has resulted in over five publications to date (for the latest publication see here).
My recent work at NIASRA has focused on multivariate spatial modelling and atmospheric trace-gas inversion. I have taken particular interest in this area since it forces me to move beyong the usual 'Gaussian' spatial models, it is inter-disciplinary, and requires an eye for careful computation. In a similar vein to my previous work on Antarctica, the work has extremely important implications, allowing one to quantify where the biggest flux sources and sinks are simply from observations of gas concentrations. Lately, I have also taken on reproducibility and software contribution to the open-source community more actively and have written a number of reproducible packages intended solely to reproduce the results in recent papers (see here and here) as well some intended for use by the general scientific community (see here and here). The latter one, focused on Fixed-Rank Kriging, is still under intense development.
Professional Activities:Member of the American Statistical Association and the Institute of Electrical and Electronics Engineers
Awards:04.2013: National Academy of Sciences (NAS) of the USA Cozzarelli Prize for paper of outstanding excellence and originality, WDC, USA.
11.2012: Institute of Engineering and Technology (IET) Control and Automation Best Doctoral Dissertation Prize, London, UK.
10.2008: Best Student Paper at the UK Automatic Control Council (UKACC) Conference, Manchester, UK.
04.2008: Full University Scholarship for pursuing a PhD at the University of Sheffield, UK.
07.2007: RS Prize for Best Academic Achievement at the Faculty of Engineering, University of Malta.