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Laura Grigori is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Department of Mathematics (MATH). She holds the Chair of high performance numerical algorithms and simulations. Her research interests include numerical linear algebra, deterministic and randomized algorithms, high performance computing for scientific applications, high dimensional problems and tensor computations, as well as applications in astrophysics and molecular simulations. She is also involved in combinatorial scientific computing and mathematical software. Grigori has received several awards, including the SIAM Fellow title for contributions to numerical linear algebra, and has been recognized for her work on communication-avoiding algorithms. She teaches courses such as Numerical Analysis and Computational Mathematics.


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Laura Grigori is a researcher specializing in high performance scientific computing and communication optimal algorithms. Her work focuses on developing efficient algorithms for parallel and sequential computations, particularly in the context of linear algebra operations such as QR and LU factorizations. Grigori's research emphasizes minimizing communication costs in numerical algorithms to enhance performance on modern parallel architectures. She has contributed to the design of communication-avoiding algorithms for dense linear systems, sparse matrix operations, and preconditioning techniques. Her publications highlight the integration of numerical stability with computational efficiency, making her work highly relevant to high-performance computing and scientific software development.

Source: google_scholar · 99 words
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