Jean Kossaifi leads the AI-Aided Engineering research group at NVIDIA Research. His research develops learning methods for physical systems, with a focus on neural operators, tensor methods, geometric representations, and scientific machine learning. He studies models that operate across geometries, discretizations, and physical conditions, with applications in fluid dynamics and engineering design, weather, materials, uncertainty quantification, optimization, and inverse design.
To democratize advanced computational methods and accelerate scientific discovery, he has created several open-source libraries, including the widely used TensorLy, for tensor methods, and NeuralOperator, for neural operators and scientific machine learning.
Before joining NVIDIA, Jean was a founding member of the Samsung AI Center in Cambridge. He holds a PhD in Artificial Intelligence from Imperial College London, a French engineering diploma in mathematics, computer science, and finance, and a BSc in advanced mathematics. His publications and open-source work are available on his personal website and Google Scholar.
Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar