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Florian GIMBERT

г. Санкт-Петербург

En résumé

Computational scientist using machine learning to analyze data in materials science. https://github.com/fgimbert

• Technical Fields: Machine Learning, Neural Networks, Nanomaterials, Supercomputer, First-principles Calculations, Molecular Dynamics.

Mes compétences :
Programmation C
Nanotechnologies
GNU/Linux
Simulation numérique
Calcul scientifique
Python
Machine Learning
language skills
Java Server Pages
C Programming Language
C++
Natural Language Processing
NumPy
Python Programming

Entreprises

  • AIST - Postdoctoral Researcher

    г. Санкт-Петербург 2017 - maintenant • Development of machine learning models using molecular dynamics simulation data to determine interaction parameters from the local environment of atoms.
    Model implemented : Deep Neural Networks, Convolutional Neural Networks for image recognition.
    • Implementation of a Bayesian Optimization algorithm to accelerate the search of simulation hyper parameters.

    • Collaboration between industry, university and national research institute.
  • Japan Advanced Institute of Science and Technology - Chercheur

    2012 - 2017 • Setting up realistic representations of experimental systems
    • Analysing the above generated data and converting them into a working hypothesis about the cause and reason for the experimentally observed results

    • Computational ab initio calculations of the properties of innovative materials, with expectation to be used in future electronic devices.
    • Identification of a new two-dimensional Si phase.


    • JSPS fellowships short and long term obtained.
    • Collaboration with international experimental researchers team.

    • Research budget obtained (100万円/year).
  • Japan Advanced Institute of Science and Technology - Postdoctoral Researcher

    2012 - 2017 * JSPS fellowships short and long term obtained.
    * Computational ab initio calculations of the properties of innovative
    nanomaterials : Identification of a new two-dimensional silicon structure.

    AIST (Tsukuba, Ibaraki)
    * Development of machine learning models using molecular dynamics
    simulation data to determine interaction parameters from the local
    environment of atoms.
  • University Paul Sabatier - Teaching Assistant

    2011 - 2012 * Teaching in the first/second university year thermodynamics and mechanics
  • CEMES - Chercheur Doctorant

    2010 - 2012 • Calculation of database to design magnetic devices such as high performance magnetic memories with optimized efficiencies.
    • 4 journal articles published.

    • Teaching in the first and second university year in thermodynamics and mechanics 30 students/class.
  • INSERM - Doctorant

    PARIS 13 2008 - 2010
  • GANIL-CEA - Master Student

    2007 - 2007 *Internships in nuclear national laboratories: Monte- Carlo simulations for superheavy elements.

    *Stage de Master dans le domaine de la physique nucléaire.
    Réalisation de simulations Monte-Carlo en C/C++ pour étudier la fission d'éléments superlourds.

Formations

  • University Paul Sabatier PCA

    Toulouse 2010 - 2012 Doctor of Philosophy

    * Calculation of a database to optimize efficiencies of magnetic nano devices
    such as high performance magnetic memories.
  • University Of Paris VI

    Paris 2007 - 2008 Masters Degree
  • ENS Ulm (Paris)

    Paris 2007 - 2008 Master 2 Physique Théorique
  • University Blaise Pascal (Clermont Ferrand)

    Clermont Ferrand 2003 - 2007 Bachelors Degree
  • Université Clermont 2 Blaise Pascal

    Clermont Ferrand 2003 - 2006 Licence

    Field: Physics/Informatics

    • Internship in national laboratory for the ATLAS/ CERN collaboration.
  • Lycée Blaise Pascal

    Clermont Ferrand 2001 - 2003 Baccalauréat Scientifique

Réseau

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