María Fuente
Ph.D. student in Applied Mathematics, LJLL – Sorbonne Université
Supervised by Damiano Lombardi
- Thesis project: Adaptive tensor methods for high dimensional problems.
Contact
- Address: Bureau A316
Centre de Recherche Inria de Paris
2 rue Simone Iff
CS 42112
75589 Paris Cedex 12
FRANCE - e-mail: maria.fuente-ruiz@inria.fr
Research interests
My research is motivated by the current issues in the resolution of high-dimensional problems and data assimilation methods.
Short CV
- Born: 23-09-1996 in Cuenca, Spain.
- 2014-2018: B.Sc. Theoretical Physics, Universidad Complutense de Madrid.
- 2018-2020: M.Sc. Applied mathematics (M2i), Universidad Politécnica de Madrid.
- 2019: Course in Data Analysis (Big Analytics), Universidad Carlos III de Madrid and Deloitte.
- 2019-2020: Internship in INRIA Paris. “Adaptive tensor methods for high dimensional problems“.
- 2020-present: Ph.D. under the supervision of Damiano Lombardi ans Virginie Ehrlacher, INRIA Paris. “Adaptive tensor methods for high dimensional problems“.
Conferences
- Congrès des Jeunes Chercheuses et Chercheurs en Mathématiques Appliquées (CJC-MA 2021). Ecole Polytechnique, Paris Saclay.
Others
- July 2021- August 2021: Summer School CEMRACS 2021 in Data assimilation and model-order reduction for high-dimensional problems. CIRM, Luminy, Marseille.
Publications
SoTT: greedy approximation of a tensor as a sum of Tensor TrainsVirginie Ehrlacher, Maria Fuente-Ruiz, Damiano LombardiSIAM Journal on Scientific Computing, Society for Industrial and Applied Mathematics, In press.
