Laure Zanna
Scholar

Laure Zanna

Google Scholar ID: xWZmhjsAAAAJ
New York University
Machine LearningPhysical OceanographyApplied MathematicsNumerical ModelingClimate Dynamics
Citations & Impact
All-time
Citations
5,228
 
H-index
34
 
i10-index
72
 
Publications
20
 
Co-authors
54
list available
Resume (English only)
Academic Achievements
  • - Leading M²LInES, a large international collaborative project aimed at improving climate simulations using AI.
  • - Developed Samudra AI Ocean Emulators and a new generation of Hybrid AI+Physics Ocean Climate Models.
Research Experience
  • - Multiscale Ocean Dynamics
  • - AI for Science, particularly AI for Ocean/Climate Physics
  • - Dynamical Systems & Numerical Modeling
Background
  • Focused on computational oceanography and climate research, especially using AI to tackle problems in ocean/climate physics.
Miscellany
  • Welcomes applications from students and researchers with a strong background in applied math, applied physics, or numerical methods interested in quantitative ocean/climate physics (using theory, numerics, AI).