Curriculum

Léonard Seydoux
Junior Professor in Geophysics & Artificial Intelligence

Education

PhD in seismology (2016) at institut de physique du globe de Paris and institut Langevin, France.
MSc in mechanics (2013) at sorbonne université, Paris, France.
BSc in physics (2011) at université de Toulouse, France.

Appointments

Junior Professor (since 2022, Assistant Professor equivalent) 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.

Selected publications

My full publication record is available on Google Scholar. Underlined authors are students or postdocs I advised.

R. Flores-Allende, L. Seydoux, É. Beaucé, L. F. Bonilla, P. Guéguen, and C. Satriano (2026). Fine-scale segmentation and spatiotemporal variability of the 2010 M_w 8.8 Maule aftershock sequence revealed by a deep-learning-based earthquake catalog. Journal of Geophysical Research: Solid Earth, 131(4), e2026JB034262. doi:10.1029/2026JB034262
R. Esfahani, M. Bracale, L. Seydoux, and M. Campillo (2026). Learning wave scattering properties from seismograms. Journal of Geophysical Research: Machine Learning and Computation, 3(1), e2025JH000719. doi:10.1029/2025JH000719
S. Mouaoued, R. Esfahani, M. Campillo, and L. Seydoux (2026). Unsupervised single-station analysis of weak seismicity preceding the 2019 Ridgecrest sequence. Bulletin of the Seismological Society of America. doi:10.1785/0120260034
R. Steinmann, L. Seydoux, C. Journeau, N. M. Shapiro, and M. Campillo (2024). Machine learning analysis of seismograms reveals a continuous plumbing system evolution beneath the Klyuchevskoy volcano in Kamchatka, Russia. Journal of Geophysical Research: Solid Earth, 129(3), e2023JB027167. doi:10.1029/2023JB027167
S. Barkaoui, P. Lognonné, T. Kawamura, É. Stutzmann, L. Seydoux, M. V. de Hoop, R. Balestriero, et al. (2021). Anatomy of continuous Mars SEIS and pressure data from unsupervised learning. Bulletin of the Seismological Society of America, 111(6), 2964–2981. doi:10.1785/0120210095

Supervision

Postdocs

Reza Esfahani — unsupervised learning and scattering representations of continuous seismic data at ISTerre with Michel Campillo.
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) Seismicity and source characterization after large subduction earthquakes: an application to the 2010 Maule aftershock sequence at IPGP with Fabian Bonilla.
Sarah Mouaoued (2022 to 2026) Clustering of seismic data and continuous monitoring, defended in May 2026 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

Timothée Borde (Spring 2026) Unsupervised analysis of seismo-volcanic events at Mt. Fuji.
Jolane Dongé (Spring 2026) Hydroacoustic signal analysis of the Fani Maoré eruption.
Alain Papajani (Spring 2026) Discrete elements slip inversion with machine learning.
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 and 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-PSAI Paris School of Artificial Intelligence.
Scientific board member (Since 2024) of the Doctoral School STEP’UP.
Working group member (Since 2024) of the carbon footprint at IPGP.
Board of directors elected member (2023 to 2026) of IPGP.
Committee member (Since 2022) of various PhD and Master's thesis committees.

Professional Associations

Member (Since 2019) of the European Geoscience Union
Member (2013 to 2019) 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) Automated exploration and analysis of seismological data streams with advanced AI-based technologies, 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 organizer and speaker (spring 2017) on Artificial intelligence applications in Geophysics at IPGP.
Workshop organizer and speaker (spring 2014) in the PhD student annual meeting at IPGP.