Auggie Marignier

Auggie Marignier

Postdoctoral Fellow in Seismology

Research School of Earth Sciences, Australian National University

Biography

I am a postdoc in the Seismology & Mathematical Geophysics group at RSES at ANU, currently looking at characterising the sedimentary thickness across Australia using passive seismic methods.

I completed my PhD in Data Intensive Science at UCL in 2022. My research focused on solving large-scale inverse imaging problems using probabilistic methods, applied to seismological and cosmological problems.

Download my resumé .

Interests
  • Data Science, Bayesian Inference and Machine Learning
  • Seismology
  • Cosmology

Recent Publications

A. Marignier, C. M. Eakin, B. Hejrani, S. Agrawal, R. Hassan (2024). Sediment thickness across Australia from passive seismic methods. GJI.

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M. A. Price, M. Mars, M. M. Docherty, A. Spurio Mancini, A. Marignier, J. D. McEwen (2023). Fast emulation of anisotropies induced in the cosmic microwave background by cosmic strings. OJA.

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W. Sturgeon, A. M. G. Ferreira, L. Schardong, A. Marignier (2023). Crustal structure of the Western U.S. from Rayleigh and Love wave amplification data. JGR: Solid Earth.

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A. Marignier (2023). PxMCMC: A Python package for proximal Markov Chain Monte Carlo. JOSS.

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A. Marignier, T. D. Kitching, J. D. McEwen, A. M. G. Ferreira (2023). Sparse Bayesian mass-mapping using trans-dimensional MCMC. OJA.

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Talks and Posters

Sedimentary Thickness Across Australia from Passive Seismic Methods
Finding new mineral deposits hidden beneath the sedimentary cover of Australia has become a national priority, given the country’s …
San Francisco
Slides
Characterising the cover of the Australian continent with passive seismic methods
Geoscience Australia - Exploring for the Future Seminar
Canberra
Slides
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