CV
A long-format academic resume is made available in pdf.
Basics
Name | Bastien C. M. Vieublé |
Label | Postdoctoral Researcher |
[email protected] | |
Url | https://bvieuble.me |
Summary | My research focuses on using approximate computing techniques for the ease of high performance linear algebra algorithms. I attach great importance to covering the algorithms from a theory-focused standpoint to their implementation on parallel supercomputers for the solution of academic and industrial applications. |
Work
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2023.12 - now Beijing, China
Postdoctoral Researcher
Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Member of the numerical optimization group working with Prof. Xin Liu.
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2022.11 - 2023.11 Manchester, UK
Research Associate
The University of Manchester
Member of the Numerical Linear Algebra group of the University of Manchester working with Prof. Nicholas J. Higham.
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2019.04 - 2019.09 Beijing, China
Research intern
Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Deep learning approaches to determine the dominant eigenvalues of sparse matrices.
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2017.09 - 2018.09 Singapore
Research intern
IPAL-CNRS
Development of solutions for the position tracking of fingers on a large 2D surface to help design wearable devices to help visually impaired people interact with maps.
Education
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2019.10 - 2022.10 Toulouse, France
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2015.09 - 2019.09 Toulouse, France
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2013.09 - 2015.08 Tours, France
Awards
- 2024.09
Research Fund for International Young Scientists
Natural Science Foundation of China
Grant of 200,000RMB awarded by the National Natural Science Foundation of China for my project 'Resource-efficient approximate computing GMRES for the solution of linear systems of equations'.
- 2023.09
Leopold Escande prize
INPT
Prize awarded to the 15% best thesis of INP Toulouse for the scientific excellence and the originality of the work.
- 2022.03
International travel grant
INPT
Awarded to cover expenses for a three months mission at the University of Manchester.
- 2019.10
MESRI doctoral contract
Ministère chargé de l'enseignement supérieur et de la recherche
French government scholarship.
Skills
Applied Mathematics | |
Numerical Linear Algebra | |
Linear Systems of Equations | |
Matrix computation | |
Factorization and Orthogonalization | |
Krylov subspace methods | |
Preconditioning | |
Sparse matrices |
Computer Science | |
Mathematical Software | |
Parallel computing | |
OpenMP and MPI | |
Floating point arithmetics |
Programming languages | |
Julia | |
Fortran | |
Latex |
Self-hosting | |
Synology NAS | |
Docker | |
Home network |
Languages
French | |
Native speaker |
English | |
Fluent |
Chinese | |
Beginner |
Projects
- 2022.11 - 2023.09
Exascale Computing Project
I was part of the xSDK project (Extreme-scale Scientific Software Development Kit), supported by the Exascale Computing Project, a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration.
- 2019.10 - 2022.10
MUMPS solver
My Ph.D. thesis was made in collaboration with MUMPS Technology to help improve the sparse direct solver MUMPS. The MUMPS solver is used by many important international companies, such as, EDF, Michelin, ANSYS, SHELL, etc.