Minh Son PHAN

Minh Son PHAN

Web Developer

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location of Minh Son PHANParis, Île-de-France, France

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  • Timeline

  • About me

    Ph.D, Research Engineer, Image Analysis, Quantitative Data Analysis, Machine Learning, Deep Learning at Institut Pasteur Paris.

  • Education

    • Danang University of Technology

      2006 - 2011
      Engineer's degree Informatics
    • University of Strasbourg

      2012 - 2016
      Doctor of Philosophy (PhD) Imaging science
    • Université Paris-Est Marne-la-Vallée

      2011 - 2012
      Master's degree Signal Image Synthesis
  • Experience

    • Fiisoft

      Jul 2009 - Mar 2010
      Web Developer

      I participated in the projects of hotel and trucker management.Programming: PHP, CakePHP, Javascript, AJAX, Google Map API.

    • Unitech (United Technologies Corporation)

      Apr 2011 - Jun 2011
      Engineering Internship

      I developed a cloud computing service that allows to create and manage a journal system.Programming: Java, Google App Engine, Google Web Toolkit.

    • ESIEE Paris & NII Tokyo

      Apr 2012 - Sept 2012
      Research Internship

      I developed a method for estimating parameters of a digital circle. The method allows to control the estimated error as a function of the running time.Highlights: Halfspace Range Searching, Quadtree.

    • Université de Strasbourg

      Oct 2013 - Sept 2016

      Improving 2D/3D tomographic reconstruction (X-Ray, CT, Cryo-EM).Highlights: Computed tomography, Graph algorithms, Hu moments, Nonlinear manifold embedding, Image denoising, Agglomerative clustering. I lectured students in the first, second years of Informatics and students in the first year of Master Bio-Informatics.Courses: Caml, UML, Algorithms and Programming, Data structures and Algorithms, Web programming, Databases.

      • PhD Researcher

        Oct 2012 - Sept 2016
      • Teaching Assistant

        Oct 2013 - Jul 2016
    • Ecole Polytechnique

      Nov 2016 - Dec 2020
      Postdoctoral Researcher

      Statistical learning from large-scale microscopic bioimages (fluorescence microscopy). Building tools for data simulation, quantification and visualisation.Highlights: Spatial statistics, Scale space, Color processing, Brownian motion, Optimal transport, Agglomerative clustering, U-Net, Cycle-GAN.Developing tools: Connectomic viewer, GeNePy3D, Omero-Catmaid bridge.

    • Institut Pasteur

      Dec 2020 - now
      Research Engineer in BioImage Analysis

      Building bioimage analysis pipeline from microscope (confocal, spinning disk, brightfield, etc) and camera.Time-series data analysis.Developing open-source tools/software.

  • Licenses & Certifications