Camille Couturier
Scholar

Camille Couturier

Google Scholar ID: t9sCvOMAAAAJ
Applied Researcher at Microsoft (Previously CNRS/IN2P3)
Deep LearningRepresentation LearningParticle Physics
Citations & Impact
All-time
Citations
2,847
 
H-index
23
 
i10-index
50
 
Publications
20
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • Research areas: Algorithms, Artificial Intelligence, Systems and Networking.
Research Experience
  • Senior Researcher at E+D; worked at Microsoft Research Lab – Cambridge.
Education
  • PhD in Physics from Pierre and Marie Curie University, Paris.
Background
  • Current research interests include natural language processing, efficient inference of deep learning models at scale, and cloud resource allocation. Prior to joining Microsoft, conducted research in physics and developed experimentation tools as a data scientist.
Miscellany
  • Contact: cacoutur@microsoft.com; Google Scholar, ResearchGate, LinkedIn, Github