Theo Gnassounou
Scholar

Theo Gnassounou

Google Scholar ID: X_LZU3IAAAAJ
Inria Saclay
Domain AdaptationBiosignalsOptimal Transport
Citations & Impact
All-time
Citations
21
 
H-index
3
 
i10-index
1
 
Publications
11
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • No specific information on academic achievements like publications, awards, etc., provided.
Research Experience
  • No specific information on research experience or job positions provided.
Education
  • Currently a PhD student at Inria Saclay in the Mind team under the supervision of Rémi Flamary and Alexandre Gramfort.
Background
  • Research interests include machine learning, domain adaptation, optimal transport and their applications to biosignals. Also interested in open science and reproducible research. Co-creator and maintainer of Skada, a Python library for domain adaptation.
Miscellany
  • Curriculum vitae is available on his personal website.