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General Information

Full Name Philippe Flores
Date of Birth 22nd April 1997
Languages French, English, Spanish

Academic research experience

  • 2024-2026
    PostDoc (ongoing)
    Non-linear and geometrical models for bivariate signals: application to polarized gravitational wave analysis.
    • Laboratory: GIPSA-lab, GAIA Department,
    • CNRS, Grenoble, France.
  • 2020-2024
    PhD
    Estimation of high dimensional probability density functions with low-rank tensor models: application to flow cytometry.
    • Supervised by David Brie and Konstantin Usevich,
    • Laboratory: CRAN, Department: BioSis, Team: SiMul,
    • Université de Lorraine, Nancy, France.
  • 2017-2020
    Master of Engineering
    Grenoble INP - Ecole Nationale Supérieure de l'Energie de l'Eau et de l'Environnement (ENSE3)
    • Major SICOM: Signal Information COmmunication and Multimedia,
    • Grenoble, France.

Teaching

  • 2021-2023
    Temporary Teaching Position in Network and Telecommunications
    IUT Nancy-Brabois, Université de Lorraine, Nancy, France
    • 128 hours of lectures,
    • Lectures on Z and Laplace transforms, channel coding, mathematics of signal processing,
    • Creation of a lecture on signal processing discovery.

Academic Interests

  • Tensor decompositions for signal processing
    • Low-rank approaches and tensor algebra,
    • Identifiability analysis.
  • Bivariate signal processing
    • Polarization and quaternion algebra,
    • Application to gravitational wave data analysis,
  • Flow cytometry data analysis.
    • Development of a new tensor-based approach called CTFlowHD (the code is available on my GitHub page),
    • Collaboration with medical doctors and biologists.

Services to the community

  • Member of the "Laboratory Council" (Conseil du Laboratoire)
  • Reviewer for the Elsevier journal "Signal Processing"
  • Presentations to the HCERES committee
    • 2025: On the well-being of non-permanent staff at GIPSA-lab as CDL elected member,
    • 2023: On a flow cytometry experiment platform at CRAN in collaboration with Stephanie Grandemange.

Transversal Skills

  • Coding Skills
    • Expertise in MATLAB and Python,
    • Working a team project with Git,
    • Scientific writing with Tex,
    • TikZ with Mathcha.