Resume

Ph.D.

INPT-IRIT, Toulouse, France

• Title: "Mixed precision iterative refinement for the solution of large sparse linear systems".
• My Ph.D. thesis research includes the following:
  • Improvement of direct and iterative solvers for the solution of linear systems with approximate computing techniques.
  • Rounding error analysis of mixed precision algorithms.
  • Parallel implementation and performance analysis of mixed precision algorithms on parallel supercomputers using academic and industrial applications.
• Advisors: Alfredo Buttari and Théo Mary.

M.Eng. and M.Sc. in Computer Science and Applied Math.

ENSEEIHT, Toulouse, France

Preparatory classes

Lycée Descartes, Tours, France

Postdoctoral Researcher

Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China

• Member of the numerical optimization group working with Pr. Xin Liu.

Research Associate

The University of Manchester, Manchester, UK

• Member of the Numerical Linear Algebra group of the University of Manchester working with Pr. Nicholas J. Higham.

Internship

AMSS (Academy of Sciences), Beijing, China

• Deep learning approaches to determine the dominant eigenvalues. Study of the sparse matrix case using graph neural network approaches with TensorFlow.
• Advisor: Pr. Liu Xin.

Group project

ENSEEIHT, Toulouse, France

• Supervised postgraduate group project. Use of convolutional neural networks to estimate the nearshore bathymetry through wave motions. This work contributed to a journal article.
• Advisor: Ehouarn Simon.

Gap year

IPAL-CNRS, Singapore

• Position tracking of fingers on a large 2D surface. Part of a project willing to make wearable technology to help visually impaired people to interact with maps. Different technologies were used: Inertial Measurement Unit (IMU), color tracking, Leap Motion, and the creation of a dot patterns based finger tracker inspired by the Anoto technology.
• Advisor: Christophe Jouffrais.

Mixed precision iterative refinement, lecture

Université Paris-Saclay, France

• Design and delivery of a 1-hour lecture in English to postgraduate students on mixed precision iterative refinement.

Insight of my Ph.D., lecture

HPC M.Sc. seminar, France

• A 1-hour talk about my Ph.D. research topic to postgraduate students specialized in high performance computing from many french universities.

Graph theory, lab class

ENSEEIHT, Toulouse, France

• Design, marking, organization, and delivery of two student code projects: “Communities detection” and “Epidemic spreading”. Approximately 8 hours of class each.

Parallel computing, lab class

ENSEEIHT, Toulouse, France

• Delivery of OpenMP and MPI based lab work classes to parallelize simple applications. Design of a 2-hours lab work class part of this teaching unit: “Heterogenous matrix–matrix product with CPU and GPU”.

Scientific computing, lab/tutorial class

ENSEEIHT, Toulouse, France

• Delivery of tutorial and lab work classes to introduce mainstream linear algebra algorithms (direct or iterative linear system solvers, eigenvalues computation, numerical error, etc.).

Data analysis, lab class

ENSEEIHT, Toulouse, France

• Delivery of lab work classes to introduce mainstream data analysis algorithms (SVM, PCA, k-nearest neighbors algorithm, etc.).

Leopold Escande prize

• Prize awarded to the 15% best thesis of INP Toulouse for the scientific excellence and the originality of the work.

MESRI doctoral contract

French government funding

• Government funding covering my wage over the three years of Ph.D. thesis. Obtained after competitive examination.

International travel grant

INPT/CIMI

• Awarded to cover expenses for a three months mission at the University of Manchester for a collaboration with Pr. Nicholas J. Higham.