Dr Augustin Marignier CV
Email: augustin.marignier@anu.edu.au
Address: Research School of Earth Sciences, Australian National University, Canberra, 2600, AUS
Publications
- A. Marignier, C. M. Eakin, B. Hejrani, S. Agrawal, R. Hassan (2024). Sediment thickness across Australia from passive seismic methods. GJI
- 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
- 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
- A. Marignier (2023). PxMCMC: A Python package for proximal Markov Chain Monte Carlo. JOSS
- A. Marignier, T. D. Kitching, J. D. McEwen, A. M. G. Ferreira (2023). Sparse Bayesian mass-mapping using trans-dimensional MCMC. OJA
- A. Marignier (2023). From Dark Matter to the Earth’s Deep Interior: There and Back Again. Doctoral Thesis (Ph.D), UCL
- A. Marignier, J. D. McEwen, A. M. G. Ferreira, T. D. Kitching (2023). Posterior sampling for inverse imaging problems on the sphere in seismology and cosmology. RASTI
- O. J. Cobb, C. G. R. Wallis, A. N. Mavor-Parker, A. Marignier, M. A. Price, M. d’Avezac, J. D. McEwen (2021). Efficient Generalized Spherical CNNs. ICLR
- A. Marignier, A. M. G. Ferreira, T. D. Kitching (2020). The Probability of Mantle Plumes in Global Tomographic Models. G3
- A. M. G. Ferreira, A. Marignier, J. Attanyake, M. Frietsch, A. Berbellini (2020). Crustal structure of the Azores Archipelago from Rayleigh wave ellipticity data. GJI
Professional History
Jan 23 - Dec 23 PDRA Seismology, Research School of Earth Sciences, ANU
Sep 22 - Dec 22 PDRA Seismology, Department of Earth Sciences, UCL
Jun 22 Scientist, Land seismometer deployment, Azores
Jun 21 - Aug 21 Scientist, UPFLOW Ocean-bottom Seismometer deployment, Atlantic Ocean
Oct 19 - May 20 Machine Learning Intern, KageNova Ltd.
Oct 18 - Sep 22 PhD Student, Centre for Doctoral Training in Data Intensive Science, UCL
Talks
- Proximal Markov chain Monte Carlo: Towards building a sparse Earth model
SSA Virtual Tomography Sessions. 02/02/21 - Proximal Markov Chain Monte Carlo: Towards Building a Sparse Earth Model
AGU Fall Meeting 2021 - Winner of the AGU Seismology Section Outstanding Student Presentation Award. 13/12/21 - Cosmological mass-mapping with trans-dimensional trees
3rd IMA Conference on Inverse Problems from Theory to Application. 04/05/22 - Probabilistic inverse imaging methods in seismology and cosmology
ANU RSES Seminar. 20/07/23 - Characterising the cover of the Australian continent with passive seismic methods
Geoscience Australia - Exploring for the Future Seminar. 24/10/23 - Sedimentary Thickness Across Australia from Passive Seismic Methods
AGU Fall Meeting 2023. 20/12/23
Teaching
2021 - 2022 Machine Learning with Big Data, UCL
2019 - 2021 Seismology II, UCL
2019 - 2021 Field Geophysics, UCL
2017 - 2021 MATLAB, UCL
Journal Peer Reviews
- Geophysical Journal International
- Journal of Geophysical Research - Solid Earth
- Physics of the Earth and Planetary Interiors
Education
2022 PhD Data Intensive Science, University College London
From Dark Matter to the Earth’s Deep Interior: There and Back Again
Supervised by Prof Ana Ferreira and Prof Thomas Kitching
Submitted 30/9/22, Defended 6/12/22, Awarded 28/1/23
2018 MSci Geophysics, University College London
First Class Honours
Rayleigh wave ellipticity inversion for crustal velocity structure
Supervised by Prof Ana Ferreira