ESC

CV

Education

CERMICS/Inria, Matherials Team, Noisy-Champs / Paris

PhD thesis supervised by Éric Cancès and Thomas Ayral

  • Ongoing work extending Density-Matrix Embedding Theory both theoretically and numerically (arXiv:2503.09881) and investigating the mathematical problems arising in this approach (arXiv:2603.17080)
  • Participation in the IPAM long program on mathematical and computational challenges in Quantum Computing, fall 2023

ISAE – SUPAERO, Toulouse

Engineering degree

  • OTSU (Earth observation and Universe sciences) – Data science for space observation, stellar physics, planetary systems, general relativity, scientific missions
  • SXS (Complex systems) – Methods for solving PDE, HPC, Multiscale methods

Université Paul Sabatier, Toulouse

Master 2 of Mathematics for Research and Innovation – M2RI

  • Non linear conservation laws, introduction to spectral theory, hyperbolic initial boundary value problems and numerical schemes

Experience

Embedding methods for electronic structure calculation with classical/hybrid algorithms, supervised by Éric Cancès and Thomas Ayral

CERMICS, Noisy-Champs, France

  • Hands on electronic structure calculation methods, on Qiskit and MyQLM for Variational Quantum algorithms for condensed matter physics and chemistry
  • Start of the implementation of Density Matrix Embedding Theory following the mathematical procedure of Cancès et al. (arXiv:2305.16472) in Julia

Internship – Study on the influence of the magnetic field in a supermassive stars formation region, supervised by Anaëlle Maury and Chat Hull

CEA, DAp – Cerro Calán Observatory, Gif-sur-Yvette, France – Santiago, Chile

  • Self-calibration of calibrated ALMA telescope data using CASA software (ALMA Observatory)
  • Creation of magnetic field maps using polarized emissions from interstellar dust (continuum)
  • Creation of maps of polarized emissions from molecular energy transitions (spectral line)

EPR experiment and Bell’s parameter, supervised by Sébastien Massenot

DEOS, ISAE-Supaero, Toulouse

  • Measurements of the Bell parameter and automation of the measurement procedure using LabView software
  • Simulation of the measurement of the Bell parameter and its uncertainty using the Monte Carlo method, and optimization of the uncertainty with a genetic algorithm coded in Python
  • Published as Negre et al., American Journal of Physics 91, 64–73 (2023)

Computational skills

Languages: Julia, Python, Matlab, LaTeX, LabView, C