Curriculum

Professor in Geophysics & Artificial Intelligence

Overview

I currently hold a chaire de professeur junior at the Université Paris Cité based at the institut de physique du globe de Paris since September 2022. I mostly study earthquakes and volcanic eruptions, which are highly destructive but with partially understood mechanisms. My research analyzes subtle geophysical signals, including slow earthquakes, very long-period events, and scattered wavefields, using artificial intelligence and machine learning. I combine high-performance computing, array-based seismic analysis, and advanced signal processing to link these signals to major geological events. I focus on AI-driven hazard assessment, reconstruction of sparse or historical datasets, and multiscale monitoring of fault and volcanic systems, while integrating software development, teaching, and collaborative supervision to connect computational geophysics with practical understanding of Earth's dynamics.

Education

• PhD in seismology (2016) at institut de physique du globe de Paris and institut Langevin, Paris, France.

• MSc in mechanics (2013) at sorbonne université, Paris, France.

• BSc in physics (2011) at université de Toulouse, France.

Appointments

• Assistant Professor (current position) with a chaire de professeur junior at the institut de physique du globe de Paris (IPGP) within the Université Paris Cité. Research on AI-based monitoring of seismic and volcanic signals, and teaching of seismology, geophysical computing, and machine learning.

• Postdoctoral associate (2021 to 2022) at MIT department of Earth, Atmospheric and Planetary Sciences on slow-slip and tectonic tremor location using deep learning with William B. Frank.

• Postdoctoral visitor (2018 to 2021) at Rice University department of Computational and Applied Mathematics on seismic signal clustering using deep scattering networks with Maarten V. de Hoop and Richard Baraniuk.

• Postdoctoral associate (2017 to 2021) at ISTerre, Grenoble-Alpes University within the ERC grant F-IMAGE on AI-based seismic signal detection and classification with Michel Campillo.

• Research and teaching associate (Fall 2017) at IPGP on seismic array processing and machine learning with Nikolai M. Shapiro.

• Graduate student and teaching assistant (2013 to 2016) at IPGP & institut Langevin on seismic array processing with a covariance matrix method with Nikolai M. Shapiro and Julien de Rosny.

Supervision

Postdocs

• Soyoun Son (2019 to 2021) — seismic waveform clustering on the San Jacinto Fault at ISTerre with Michel Campillo.
• Jean Soubestre (Spring 2017) — Analysis of the seismovolcanic activity at Kamchatka, at IPGP with Nikolai M. Shapiro.

Graduate students

• Miriana Corsaro (Spring 2025) University of Catania, Italy: AI-based location of seismic events recorded with DAS at Campi Flegrei. Visiting for two months at IPGP.
• Adèle Doucet (Since 2023) AI-based monitoring of dormant volcanoes, at IPGP with Nobuaki Fuji, Yosuke Aoki, and Jean-Philippe Métaxian.
• Rodrigo Flores-Allende (Since 2023) Spatio-temporal study of seismicity in subduction zones from inhomogeneous seismic networks with artificial intelligence at IPGP with Fabian Bonilla.
• Sarah Mouaoued (Since 2022) Clustering of continuous seismic data for monitoring with deep scattering networks at ISTerre with Michel Campillo.
• René Steinmann (2019 to 2022) Exploring continuous seismograms with machine learning, defended in December 2022 at ISTerre with Michel Campillo.

Undergraduate students

• Agathe Brisot (Spring 2025) Deep seismicity at Stromboli with an array of OBS sensors, at IPGP with Jean-Philippe Métaxian.

• Noémie Divoux (Spring 2025) Enhancing earthquake location with machine learning, at IPGP with Lise Retailleau.

• Thibaut Ceci (Spring 2024) Exploration of seismic signals generated by dense granular flows, at IPGP with Antoine Lucas et Anne Mangeney.

• Lorette Drique (Spring 2024) InSAR bias estimation over vegetated terrains with machine learning, at IPGP with Manon Dalaison.

• Farzaneh Mohammadi (Spring 2024) Enhancing earthquake location with domain adaptation, at IPGP with Lise Retailleau and Claudio Satriano.

• Zhiyang Guo (Spring 2023) Enhancing earthquake location with domain adaptation, at IPGP with Lise Retailleau and Claudio Satriano.

• Rodrigo Flores Allende (Spring 2023) Analyzing the Mw 8.8 Maule earthquake with AI and template matching, at IPGP with Fabian Bonilla.

• Laure Manceau (Spring 2023) Unsupervised analysis of very long-period earthquakes at Stromboli, at IPGP with Eleonore Stutzmann and Jean-Philippe Métaxian.

• Zhong Min Khoo (Fall 2020) Earth Observatory of Singapore, Nanyang Technological University — Monitoring the volcanic activity of Mt. Merapi with infrasonic and seismic data, at EOS Singapore with Benoit Taisne.

• Cyril Journeau (Spring 2018) Analysis of seismovolcanic tremors with principal component analysis, at IPGP with Nikolai M. Shapiro.

Service

Departmental Service

• President (Since 2025) of the network NuTS funded by CNRS-INSU.
• Research fellow (Since 2025) at the PR[AI]RIE Paris School of Artificial Intelligence.
• Scientific board member (Since 2025) of the Doctoral School STEP’UP.
• Working group member (Since 2024) of the carbon footprint at IPGP.
• Board of directors elected member (Since 2023) of IPGP.

Professional Associations

• Member (Since 2019) of the European Geoscience Union
• Member (Since 2013) of the American Geophysical Union

Session Convener

• EGU Machine learning for time series in geophysics (2025) European Geosciences Union General Assembly, Vienna, Austria

• ESC Machine learning solutions to seismic problems (2021) ESC General Assembly, Virtual Meeting

• EGU Machine Learning in Solid Earth Geosciences (2020) European Geosciences Union General Assembly, Vienna, Austria

• EGU Machine learning for seismic signal analysis (2019) European Geosciences Union General Assembly, Vienna, Austria

• AIP How to see inside the Earth? Theory and applications of inverse problems (2019) Applied Inverse Problems Mini-Symposia, AIP, Grenoble, France

PhD defense juries

• Joachim Rimpot (2025) Exploration automatisée et analyse de flux de données sismologiques par méthodes d'apprentissage machine supervisées et non-supervisées, Université de Strasbourg.
• Julius Grimm (2025) Detection and Characterization of Seismic Signals with Distributed Acoustic Sensing (DAS), ISTerre, Grenoble-Alpes University.
• Gabriela Arias Mendez (2024) Tsunami warning from prompt elastogravity signals using deep learning, Université Côte d'Azur.
• José Cunha Teixeira (2024) Leveraging seismic monitoring of the subsurface in railway environment, Sorbonne Université.
• Théotime de la Selle (2023) Detection, unsupervised classification and emission mechanisms investigation of acoustic multiplets associated with fatigue cracking, INSA Lyon.
• Alexander Yates (2023) Towards accurate monitoring of explosive volcanoes using seismic noise interferometry, ISTerre, Savoie Mont Blanc University.

Community Involvement

• Developer (since 2019) of the open-source ScatSeisNet Python library.
• Developer (since 2017) of the open-source CovSeisNet Python library.
• Deployment of seismic sensors on the San Jacinto fault zone, (winter 2019) California for the FaultScan ERC Grant by Florent Brenguier.
• Workshop animation (spring 2017) on Artificial intelligence applications in Geophysics at IPGP.
• Workshop organizer and speaker (spring 2014) in the PhD student annual meeting at IPGP.

Reviewing Activities

Technical Skills

Additional trainings
Programming languages and libraries
Developed libraries
Spoken languages
Other skills