Computational mathematics may seem boring only from a far distance. In fact, this discipline is an endless source of joy and inspiration. What could be more fun than inverting a matrix? :)
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Daria Sushnikova is a Postdoctoral Fellow in ECRC, KAUST, PhD in Mathematical modeling, numerical methods, and software packages.
Areas of expertise and current scientific interests
- Numerical linear algebra
- Scientific computing and high performance computing
- Direct solvers and preconditioners
- Rank-structured matrices, hierarchical matrices.
Education and Early Career
Daria got her Specialist degree in Mathematics and System Programming in 2013. Then she defended her PhD degree in Mathematical modeling, numerical methods, and software packages in 2017. Daria defended both degrees under the supervision of Professor Ivan Oseledets. Daria’s research focuses on methods of factorization and solution of the linear systems with the block low-rank matrices. 1In 2019 Daria got her first Postdoctoral position at the Courant Institute of Mathematical Sciences at New York University under the supervision of Professor Mike O’Neil and Professor Leslie Greengard. Her work there was mainly devoted to the design and implementation of a fast direct solver for FMM-like matrices. In 2022 Daria got her second Postdoctoral position at King Abdullah University of Science and Technology under the supervision of Professor Matteo Ravasi and Professor David Keyes. Daria’s work in KAUST focuses on implementing high-performance algorithms to rank-structured matrices.
Why KAUST?
KAUST provides endless opportunities for research, education, and collaboration. For me, it’s a perfect place to live and work.