Bio

Angela Stallone is a researcher at the Istituto Nazionale di Geofisica e Vulcanologia (INGV) in Bologna, Italy.
She graduated in 2012 with the M.Sc. degree in Applied Geophysics from the IDEA League Joint Master's program, a joint program run by TU Delft, ETH Zurich and RWTH Aachen. She concluded her studies with a Master thesis on the simulation of propagation of seismic waves in a fractured medium with the 2D finite-difference method (“Seismic signatures of 2D fracture networks”) at TU Delft. From July 2011 till August 2011 she worked as a geoscientist intern at Statoil in Stavanger, Norway, where she gained experience in Oil & Gas reservoir characterization.
After graduating, she worked as a geophysicist at CGG in Den Haag, The Netherlands, where she engaged as a team member dedicated to software testing and enhancement, specifically focusing on the CGG stochastic inversion tool. In June 2015 she moved back to Italy to start a new career as a research scientist.
She received her PhD in Geophysics from the University of Roma TRE (in collaboration with INGV) in November 2018. She defended her dissertation on an unbiased and statistically rigorous analysis of earthquake occurrence, with implications for earthquake forecasting and seismic hazard assessment (“Statistical analysis of earthquake occurrences and implications for earthquake forecasting and seismic hazard assessment”).
Between November 2018 and March 2022, she served as a Postdoctoral Researcher at INGV, Rome, Italy. During this period, she strengthened her skills in Statistical Seismology and expanded her interests to Computational Seismology and High Performance Computing (HPC), with a focus on Full-Waveform Inversion and uncertainty quantification.

Her main research interests are Computational Seismology (forward and inverse problem) and HPC applications; uncertainty quantification in physics-based and GMMs-based ground motion modeling; probing the Moon (with seismic waves, of course!); development of innovative techniques for seismicity analysis and modeling.

Positions

• Apr 2022 - ongoing: Researcher at INGV
• Nov 2018 - Mar 2022: Postdoc researcher at INGV, Rome, Italy
• Nov 2012 - May 2015: Geophysicist at CGG, Den Haag, The Netherlands
• July 2011 - Aug 2011: Intern at Statoil, Stavanger, Norway

Education

• Nov 2015 - Nov 2018: PhD student at University of Roma TRE/INGV, Rome, Italy
• Aug 2010 - Aug 2012: MSc, Applied Geophysics (IDEA League Joint Degree), Delft (The Netherlands)/Aachen (Germany)/Zurich (Switzerland)
• Sep 2007 - Jul 2010: BSc, Geology (University of Bari, Italy)

Softwares

• ProbShakemaps, Author.
  ProbShakemaps is a Python toolbox propagating earthquake source uncertainty to ground motion prediction for urgent computing applications.
  GitHub: https://github.com/INGV/ProbShakemap
  Zenodo: https://zenodo.org/records/10654186
• RESTORE (REal catalogs STOchastic REplenishment), Author.
  RESTORE is a Python toolbox implementing a stochastic gap-filling method to tackle the problem of Short-Term Aftershock Incompleteness (STAI). RESTORE automatically detects the STAI gaps and reconstruct the missing events in the space-time-magnitude domain.
  GitHub: https://github.com/INGV/RESTORE
  Zenodo: http://doi.org/10.5281/zenodo.3952182

Publications

• [Preprint] The Lunar Gravitational-wave Antenna: Mission Studies and Science Case. Submitted to JCAP. https://arxiv.org/abs/2404.09181.
• [Preprint] ProbShakemap v1.0: a Python toolbox propagating source uncertainty to ground motion prediction for urgent computing applications. Submitted to Computers and Geosciences. 10.22541/essoar.171291898.85029834/v1.
• Folch, A., Abril, C., Afanasiev, M., Amati, G., Bader, M., Badia, R. M., ... & Wössner, U. (2023). The EU Center of Excellence for Exascale in Solid Earth (ChEESE): Implementation, results, and roadmap for the second phase. Future Generation Computer Systems, 146, 47-61. https://doi.org/10.1016/j.future.2023.04.006
• Meletti, C., Marzocchi, W., D'amico, V., Lanzano, G., Luzi, L., Martinelli, F., ... & Seno, S. (2021). The new Italian seismic hazard model (MPS19). Annals of Geophysics, 64(1). https://doi.org/10.4401/ag-8579
• Stallone, A., & Falcone, G. (2021). Missing earthquake data reconstruction in the space‐time‐magnitude domain. Earth and Space Science, 8(8), e2020EA001481. https://doi.org/10.1029/2020EA001481
• Stallone, A., Cicone, A., & Materassi, M. (2020). New insights and best practices for the successful use of Empirical Mode Decomposition, Iterative Filtering and derived algorithms. Scientific reports, 10(1), 15161. https://doi.org/10.1038/s41598-020-72193-2
• Marzocchi, W., Spassiani, I., Stallone, A., & Taroni, M. (2020). How to be fooled searching for significant variations of the b-value. Geophysical Journal International, 220(3), 1845-1856. https://doi.org/10.1093/gji/ggz541
• Stallone, A., & Marzocchi, W. (2019). Features of seismic sequences are similar in different crustal tectonic regions. Bulletin of the Seismological Society of America, 109(5), 1594-1604. https://doi.org/10.1785/0120180175
• Stallone, A., & Marzocchi, W. (2019). Empirical evaluation of the magnitude-independence assumption. Geophysical Journal International, 216(2), 820-839. https://doi.org/10.1093/gji/ggy459
• [Conference paper] Tehrani, A. M., Stallone, A., Bornard, R., & Boudon, S. (2016, May). Realistic Uncertainty Quantification in Geostatistical Seismic Reservoir Characterization. In 78th EAGE Conference and Exhibition 2016 (Vol. 2016, No. 1, pp. 1-5). European Association of Geoscientists & Engineers. https://doi.org/10.3997/2214-4609.201600965

Conference presentations

• Stallone, A., Selva, J., Cordrie, L., Faenza, L., Michelini, A. (2024). ProbShakemap: a Python toolbox for urgent earthquake source uncertainty quantification. EGU General Assembly [Wien, Austria]
• Stallone, A., Selva, J., Cordrie, L., Faenza, L., Michelini, A. (2023). A Python algorithm for ensemble initialization and reduction in urgent computing applications and probabilistic shakemaps retrieval. IUGG [Berlin, Germany]
• Stallone, A., Krischer, L., Magnoni, F., Casarotti, E., Fichtner, A. (2022). Central Italy Highresolution Model for Accurate Ground Motion Simulation. Seismic Tomography: What Comes Next? [Toronto, Canada]
• Lorito, S., Cirella, A., Piatanesi, A., Romano, F., Atzori, S., Svigkas, N., Avallone, A., Stallone, A., Magnoni, F., Casarotti, E., Brizuela, B., Volpe, M., Tonini, R., Cugliari, L., Amato, A., Baglione, E., Bayraktar, B., Okuwaki, R., Yagi, Y., Metz, M., Dahm, T., Babeyko, A., Ganas, A., Taymaz, T., & Briole, P. (2021). The 30 October 2020 Mw 7.0 Samos-Izmir earthquake and tsunami: multi-stage source characterization from teleseismic, strong motion, HR and static GPS, InSAR, and tsunami data. ESC Assembly [Virtual]
• Stallone, A., & Falcone, G. (2020). RESTORE (REal catalogs STOchastic REplenishment): a new algorithm for missing earthquakes reconstruction. AGU Fall Meeting 2020 [Virtual]
• Cicone, A., Stallone, A., Materassi, M., & Zhou, H. (2020). New insights and best practices for the successful use of Empirical Mode Decomposition, Iterative Filtering and derived algorithms in the decomposition of nonlinear and nonstationary signals. EGU General Assembly [Virtual]
• Stallone, A., Marzocchi, W., Spassiani, I., & Taroni, M. (2019). Biases in estimating the b-value, its uncertainty, and its variability. 11th International Workshop on Statistical Seismology [Hakone, Japan]
• Stallone, A., & Marzocchi, W. (2019). Features of seismic sequences are similar in different crustal tectonic regions. EGU General Assembly [Wien, Austria]
• Stallone, A., & Marzocchi, W. (2017). Investigating on the Differences between Triggered and Background Seismicity in Italy and Southern California. AGU Fall Meeting [New Orleans, USA]
• Stallone, A., & Marzocchi, W. (2017). Analysis of the seismicity preceding large earthquakes. EGU General Assembly [Wien, Austria]
• Stallone, A., & Bichisao, M. (2017). Sensing the earthquake. EGU General Assembly [Wien, Austria]
• Stallone, A., & Marzocchi, W. (2016). Analysis of the Seismicity Preceding Large Earthquakes. AGU Fall Meeting [San Francisco, USA]

More

• Visiting researcher at ETH Zurich [23/10/2021 - 21/11/2021]: SALVUS Software training, under the supervision of Prof. Andreas Fichtner.
• Organizing Committee Member: NoSAG21 Summer School and Conference (“Mathematics for Nonstationary Signals and applications in Geophysics and other fields”) - Università degli Studi dell'Aquila, July 19-24, 2021.
• Session convener, EGU General Assembly 2020: Analysis and modeling of spatiotemporal earthquake occurrence: challenges and perspectives.
• Workshop participant: ScienceFore Summer School: the science of forecasting. Heidelberg University, 3/6 ottobre 2017.

OUTREACH

• Shakemovies on Youtube (1980 Mw 6.9 Irpinia earthquake and 2020 Mw 6.4 Croatia earthquake).
• Stallone, A., Sandri L., Lorito S., Volpe M., Casarotti E., Ongaro T. E. (2021). ChEESE: L’ Europa si prepara ad entrare nell’era exascale. [English version ]
• Diaferia, G., & Stallone, A. (2019). Earthquake rumbles the gates of Rome. , Temblor.
• Stallone, A., & Diaferia, G. (2018). Mt. Etna eruption likely reactivated Fiandaca Fault. , Temblor.
• Stallone, A., & Diaferia, G. (2018). Large earthquakes could be linked to a newly-imaged fault. , Temblor.

RECOGNITION
• Nature Communications Earth & Environment Outstanding Reviewer nature.com/commsenv/referees/outstanding-referees
• Top 100 Scientific Reports Earth Science papers in 2020 nature.com/articles/s41598-020-72193-2
• Recipient of ENEL grant for pursuing the IDEA LEAGUE MSc “Applied Geophysics”