CV

A long-format academic resume is made available in pdf.

Basics

Name Bastien C. M. Vieublé
Label Postdoctoral Researcher
Email [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

  • 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.
  • 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.
  • 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.
  • 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

  • 2019.10 - 2022.10

    Toulouse, France

    PhD
    INPT-IRIT
    Mixed precision iterative refinement for the solution of large sparse linear systems
  • 2015.09 - 2019.09

    Toulouse, France

    M.Eng. and M.Sc.
    ENSEEIHT
    Computer Science and Applied Mathematics
  • 2013.09 - 2015.08

    Tours, France

    Preparatory classes
    Lycée Descartes
    Mathematics and Physics

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.