Antoine Collas
Scholar

Antoine Collas

Google Scholar ID: jxTnfogAAAAJ
INRIA, Université Paris-Saclay
machine learningoptimizationstatistics
Citations & Impact
All-time
Citations
115
 
H-index
7
 
i10-index
4
 
Publications
20
 
Co-authors
29
list available
Resume (English only)
Academic Achievements
  • No detailed information provided.
Research Experience
  • August 2025 - Present: Models team lead at Karavela.ai; November 2022 - July 2025: Postdoctoral researcher at Inria Saclay, Mind team, supervised by Bertrand Thirion, Alexandre Gramfort, and Rémi Flamary; October 2019 - October 2022: Ph.D. research at SONDRA laboratory, CentraleSupélec, University of Paris-Saclay.
Education
  • Ph.D.: October 2019 - October 2022, SONDRA laboratory, CentraleSupélec, University of Paris-Saclay, supervised by Jean-Philippe Ovarlez, Guillaume Ginolhac, Chengfang Ren, and Arnaud Breloy; B.S.: University of Technology of Compiègne, major in Computer Science, minor in Mathematical modeling.
Background
  • Research Interests: Applied mathematics, signal processing, and machine learning, with a focus on scalable methods for neuroscience modalities (MEG, EEG, fMRI). Brief Bio: Since August 2025, he has been the Models team lead at Karavela.ai, a startup building a foundation model of the brain.
Miscellany
  • Part-time lecturer: Taught graduate-level applied mathematics courses, including optimization, digital signal processing, and machine learning, at École Polytechnique, CentraleSupélec, and University Paris-Saclay.