Laura Grigori

Expertise Numerical linear algebra, deterministic and randomized algorithmsHigh performance computing for scientific applicationsHigh dimensional problems and tensor computationsApplications in astrophysics, molecular simulations, etcCombinatorial scientific computingMathematical Software Teaching & PhD PhD Students Israa Fakih, Zhipeng Xue, Andrea Di Antonio, Mariana Graciela Martinez Aguilar, Guifré Sánchez i Serra Courses Numerical analysis and computational mathematics MATH-456 The course provides an introduction to scientific computing. Several numerical methods are presented for the computer solution of mathematical problems arising in different applications. The software MATLAB is used to solve the problems and verify the theoretical properties of the numerical methods. Awards SIAM Fellow For contributions to numerical linear algebra, including communication-avoiding algorithms. 2020 ERC Synergy Grant Extreme-scale Mathematically-based Computational Chemistry 2019 SIAM SIAG on Supercomputing Best Paper Prize With J. Demmel, M. Hoemmen, and J. Langou for the paper Communication-Optimal Parallel and Sequential QR and LU Factorizations, SISC 2012 2016 SIAM Supercomputing Career Prize In acknowledgement of her outstanding contributions to scientific computing, particularly communication-avoiding algorithms 2024