معرفی
Pierre Gentine is a Professor of Geophysics in the Department of Earth and Environmental Engineering at Columbia University, with additional appointments in Earth and Environmental Sciences and Climate. He directs the Center for Learning the Earth with Artificial Intelligence and Physics (LEAP). His research integrates machine learning, remote sensing, and multiscale modeling to address climate change impacts on water cycles, land-atmosphere interactions, and extreme weather events. Key areas include drought forecasting, vegetation-climate feedbacks, and improving Earth system models through AI.
Education: PhD (2010) and MSc (2006) in Civil and Environmental Engineering from MIT, and an M.Eng. (2002) in Applied Mathematics from SupAéro, France.
Research focuses on advancing climate science through innovative applications of machine learning, such as parameterization of subgrid-scale processes, data assimilation, and climate prediction. His work bridges geophysical turbulence, hydrological extremes, and ecological dynamics, with recent emphasis on urban climate and generative AI for climate modeling.
Notable awards include the AGU Macelwane Medal (2022), AGU Fellowship (2022), and multiple NSF/DOE Early Career awards. He leads high-impact projects like the LEAP Center and contributes to global datasets on evapotranspiration, vegetation phenology, and climate extremes.
Advising and grants encompass over 22 publications and leadership in interdisciplinary initiatives. His lab (GentineLab) develops open-source tools for climate modeling and AI integration, fostering collaboration across geosciences and computer science.
