Jean Kossaifi leads research at NVIDIA in the field of AI for Scientific Simulation, where he advances new algorithmic paradigms to solve complex physics-based problems. His core research focuses on fundamental algorithms, including combining tensor methods with deep learning, to develop efficient and powerful neural architectures.
To help democratize advanced computational techniques and accelerate scientific discovery, he created two widely used open-source libraries: TensorLy, for tensor methods, and NeuralOperator, for scientific machine learning.
Prior to NVIDIA, Jean was a founding member of the Samsung AI Center in Cambridge. His academic foundation includes a French Engineering Diploma in Mathematics, Computer Science, and Finance and a BSc in advanced mathematics. Jean then completed my PhD in Artificial Intelligence at Imperial College London. For more on his work, including his publications and open-source projects, please visit his personal website and Google Scholar profile.
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
