Andrew Mangion
Associate Professor
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolAndrew Zammit Mangion is an Associate Professor of Mathematics and Statistics with 15 years of experience developing Bayesian models and scalable algorithms for spatial and spatio-temporal systems. With a PhD in Control and Systems Engineering and an engineering degree from Malta, he blends rigorous dynamic-systems theory with practical computational tools to tackle problems from neural coding to sea-level rise and atmospheric trace-gas inversion. His career spans research posts at Edinburgh, Bristol and Wollongong and now UNSW, and he brings a track record of interdisciplinary impact—evidenced by membership of the OCO Science Team and election to the International Statistical Institute. He is known for translating complex physical and observational models into efficient inference workflows for large-scale datasets, a skill rooted in early work on FPGA-accelerated simulation and control at Rolls-Royce and CERN. Colleagues value his ability to bridge theoretical statistics, geoscience applications and computational engineering to deliver reproducible, policy-relevant science.
16 years of coding experience
13 years of employment as a software developer
Undergraduate Engineering (Electrical Electronic and Control), Undergraduate Engineering (Electrical Electronic and Control) at University of MaltaPhD Control and Systems Engineering, PhD Control and Systems Engineering at University of Sheffield
English, Maltese, Italian, German
Github Skills (24)
ide10
kriging10
temporal9
statistics9
discovery9
big-data8
bayesian-statistics7
bayesian7
spatial7
deep-learning5
weighted4
python4
generative-ai4
loss4
julia3
Programming languages (5)
Github contributions (5)
andrewzm/deepIDE
Oct 2019 - May 2020
Deep IDE Models for Spatio-Temporal Forecasting
Contributions:25 commits, 24 pushes, 1 branch in 6 months
ide
andrewzm/FRK
Apr 2015 - Dec 2022
Fixed Rank Kriging with big data
Contributions:11 releases, 1 review, 414 commits in 7 years 9 months
big-datakriging
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