Basic Information

Email Address

• Email Address

  domine.laura.8jkyoto-u.ac.jp

Academic Degree

• 21 Sep. 2017

  M.S.（Ecole polytechnique, France）
• 18 Jun. 2023

  Ph.D.（Stanford University）

Academic Resume (Graduate Schools)

• Stanford University (United States), Department of Physics, 修了
• Ecole polytechnique (France), Master, Physics major, 修了

Academic Resume (Undergraduate School/Majors)

• Ecole polytechnique (France), Multidisciplinary scientific training in Pure and applied mathematics, physics, computer science, biology, 卒業
• Lycee Hoche, Versailles (France), Preparatory classes(CPGE) Mathematics-Physics-Informatics(MPI)course, 卒業
• Lycee Alain, Le Vesinet (France), 卒業

Research History

• From Apr. 2026, To Present

  Kyoto University, HAKUBI Center for Advanced Research, Project-specific Assistant Professor
• From Dec. 2025, To Present

  National Institute of Information and Communications Technology, Remote Sensing Laboratory, Tenure-track researcher
• From Apr. 2023, To Aug. 2025

  Harvard University, Center for Astrophysics, Postdoctoral researcher
• From Sep. 2017, To Apr. 2023

  Stanford University, SLAC National Accelerator Laboratory, Graduate research assistant
• From Apr. 2017, To Jul. 2017

  Ecole Polytechnique, Laboratoire Leprince-Ringuet, Research assistant

ID,URL

• ORCID ID

  0000-0002-2153-4728

• J-Global ID

  202501015323225583

researchmap URL

• https://researchmap.jp/laura-domine

Research

Research Interests

• rare event search
• UAP
• SETI
• multimodal machine learning

Research Areas

• Natural sciences, Astronomy
• Natural sciences, Atmospheric and hydrospheric science
• Informatics, Intelligent informatics
• Natural sciences, Particle, nuclear, cosmic-ray, and astrophysics - experiment

Papers

• Critical Evaluation of Studies Alleging Evidence for Technosignatures in the POSS1-E Photographic Plates

  Wesley Andrés Watters; Laura Dominé; Sarah Little; Cameron Pratt; Kevin H. Knuth; Matthew Szenher

  Publications of the Astronomical Society of Australia, 23 Jul. 2026

  
• The deployment of a geomagnetic variometer station as auxiliary instrumentation for the study of Unidentified Aerial Phenomena

  Foteini Vervelidou; Alex Delacroix; Laura Domine; Ezra Kelderman; Sarah Little; Abraham Loeb; Eric Masson; Wesley Andres Watters; Abigail White

  Geoscientific Instrumentation, Methods and Data Systems, 26 Nov. 2025

  
• The new science of Unidentified Aerospace-Undersea Phenomena (UAP)

  Kevin Knuth; Philippe Ailleris; Hussein Ali Agrama; Eamonn Ansbro; Phyllis A. Budinger; Tejin Cai; Thibaut Canuti; Michael C. Cifone; Walter Bruce Cornet; Frédéric Courtade; Richard Dolan; Laura Domine; Luc Dini; Baptiste Friscourt; Ryan Graves; Richard F. Haines; Richard Hoffman; Hakan Kayal; Sarah Little; Garry P. Nolan; Robert Powell; Mark Rodeghier; Edoardo Russo; Peter Skafish; Erling Strand; Michael Swords; Matthew Szydagis; Gerald T. Tedesco; John J. Tedesco; Massimo Teodorani; Jacques F VALLEE; Michaël Vaillant; Beatriz Villarroel; Wesley A. Watters

  Progress in Aerospace Sciences, Jun. 2025

  
• Commissioning an All-Sky Infrared Camera Array for Detection of Airborne Objects

  Laura Domine; Ankit Biswas; Richard Cloete; Alex Delacroix; Andriy Fedorenko; Lucas Jacaruso; Ezra Kelderman; Eric Keto; Sarah Little; Abraham Loeb; Eric Masson; Mike Prior; Forrest Schultz; Matthew Szenher; Wesley Andrés Watters; Abigail White

  Sensors, Jan. 2025

  
• Clustering of electromagnetic showers and particle interactions with graph neural networks in liquid argon time projection chambers

  François Drielsma; Qing Lin; Pierre Côte de Soux; Laura Dominé; Ran Itay; Dae Heun Koh; Bradley J. Nelson; Kazuhiro Terao; Ka Vang Tsang; Tracy L. Usher

  Physical Review D, 11 Oct. 2021

  
• Point proposal network for reconstructing 3D particle endpoints with subpixel precision in liquid argon time projection chambers

  Laura Dominé; Pierre Côte de Soux; François Drielsma; Dae Heun Koh; Ran Itay; Qing Lin; Kazuhiro Terao; Ka Vang Tsang; Tracy L. Usher

  Physical Review D, 18 Aug. 2021

  
• Scalable deep convolutional neural networks for sparse, locally dense liquid argon time projection chamber data

  Laura Dominé; Kazuhiro Terao

  Physical Review D, 10 Jul. 2020

  
• A New Concept for Kilotonne Scale Liquid Argon Time Projection Chambers

  Jonathan Asaadi; Martin Auger; Roman Berner; Alan Bross; Yifan Chen; Mark Convery; Laura Domine; Francois Drielsma; Daniel Dwyer; Antonio Ereditato; Damian Goeldi; Ran Itay; Dae Koh; Samuel Kohn; Patrick Koller; Igor Kreslo; David Lorca; Peter Madigan; Christopher Marshall; Thomas Mettler; Francesco Piastra; James Sinclair; Hirohisa Tanaka; Kazuhiro Terao; Patrick Tsang; Tracy Usher; Michele Weber; Callum Wilkinson

  Instruments, 07 Feb. 2020

  
• Gluon density fluctuations in dilute hadrons

  Domin{\'e}, L.; Giacalone, G.; Lorc{\'e}, C.; Munier, S.; Pekar, S.

  Physical Review D, 2018

  

Presentations

• Towards a foundation model for scientific multi-sensor platforms in search of novel local technosignatures

  International Astronomical Union (IAU) symposium no.404 about technosignatures, Mar. 2026, Invited

  
• Commissioning of an All-Sky Infrared Camera Array Searching for Novel Local Technosignatures

  NASA Sellers Exoplanet Environments Collaboration (SEEC), Technosignature seminar series, 23 Apr. 2025, Invited

  
• Commissioning of an All-Sky Infrared Camera Array Searching for Novel Local Technosignatures

  (Poster) American Geophysical Union (AGU) conference 2024, session P11C: Advancing the Search for Exoplanetary and Solar System Technosignatures, Dec. 2024

  
• Multi-modal generalized class discovery for scalable autonomous all-sky surveys

  Institute for Artificial Intelligence and Fundamental Interactions summer workshop, MIT, Aug. 2024

  
• Multi-modal generalized class discovery for scalable autonomous all-sky surveys

  AstroAI workshop, Harvard-Smithsonian Center for Astrophysics, Jun. 2024, Invited

  
• Scalable 3D Semantic Segmentation and Point Proposal Network for large-scale high resolution particle imaging detectors

  Neutrino Physics and Machine Learning (NPML) satellite workshop of XXIX International Conference on Neutrino Physics and Astrophysics, Jun. 2020

  
• Reconstructing Michel Electrons in ICARUS with Deep Neural Networks

  Neutrino Physics and Machine Learning (NPML) satellite workshop of XXIX International Conference on Neutrino Physics and Astrophysics, Jun. 2020

  
• Sparse Submanifold Convolution for Physics 2D/3D Image Analysis

  AI-at-SLAC seminar at SLAC National Accelerator Laboratory in California, Jun. 2019, Invited

  
• Submanifold Sparse Convolutional Networks for Sparse, Locally Dense Particle Image Analysis

  19th International Workshop on Advanced Computing and Analysis Techniques (ACAT) in Physics Research, Mar. 2019

  
• Applying Deep Neural Network Techniques for LArTPC Data Reconstruction

  (Poster) Neutrino 2018 - XXVIII International Conference on Neutrino Physics and Astrophysics, 2018

  
• Cloud Removal in Hyperspectral Images using Generative Adversarial Networks

  (Poster) Xpo annual research symposium organised by Stanford Institute for Computational & Mathematical Engineering (ICME), 2018, Invited

  
• Point Proposal Network for Reconstructing 3D Particle Positions with Sub-Pixel Precision in Liquid Argon Time Projection Chambers

  CPAD Instrumentation Frontier Workshop, 2018