Laure Zanna
Also known as Laure E. Zanna, לור זאנה
Laure Zanna is a climate scientist and professor of mathematics at New York University's Courant Institute. Her work matters to AI because it applies scientific machine learning to climate models, and she has led the international M²LInES collaboration since 2020. She completed a Harvard PhD in 2009, joined Balliol College, Oxford, as a junior research fellow, and moved to NYU in 2019. The American Meteorological Society gave her the Fofonoff Award in 2020, and NeurIPS named ClimSim, a dataset she co-authored, an Outstanding Paper in 2023. In January 2026 NYU launched the Simons Center for Computational Geophysical Flows, which she co-leads with Carlos Fernandez-Granda.
Timeline
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2009
A Harvard thesis on Atlantic variability
She completes a PhD at Harvard in 2009 with a thesis on Atlantic Ocean variability.
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2009
Junior research fellow at Balliol
She joins Balliol College, Oxford, as a junior research fellow in 2009.
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2019
Professor at NYU's Courant Institute
She moves to the Courant Institute at New York University in 2019 as a climate scientist and professor of mathematics.
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2020
A Fofonoff Award from the AMS
The American Meteorological Society gives her the Fofonoff Award in 2020.
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Since 2020
Steering M²LInES climate models
Since 2020 she leads M²LInES, an international collaboration dedicated to improving climate models with scientific machine learning.
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2023
ClimSim, a NeurIPS Outstanding Paper
She co-authors ClimSim, a dataset for hybrid physics-ML climate emulation, which NeurIPS names an Outstanding Paper in 2023.
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January 2026
Co-leading NYU's Simons Center
NYU launches the Simons Center for Computational Geophysical Flows in January 2026, and she co-leads it with Carlos Fernandez-Granda.
Sources and credits
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