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Vladimir Macko, Ph.D.

Vladimir Macko, Ph.D.

Summer Intern

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  • Timeline

  • About me

    Researcher and Lecturer in Learning technology, Applied AI, Data Science and Information Management

  • Education

    • Charles University in Prague

      2011 - 2014
      Bachelor of Science - BS Physics

    • University of Oxford

      2018 - 2018

      Summer School on Machine Learning

    • EPFL (École polytechnique fédérale de Lausanne)

      2016 - 2021
      Doctor of Philosophy - PhD Physics

      Specialization in Data analysis and Data science

    • University of Essex

      2019 - 2019
      Analytics & Data Science Summer School Deep learning

    • Stockholm University

      2015 - 2016
      Master of Science - MS Physics

      Focus on Data science and Data analysis

  • Experience

    • Joint Institute for Nuclear Research

      Jul 2014 - Sept 2014
      Summer Intern

      Data analysis and simulations for nuclear physics experiments

    • CERN

      Sept 2014 - Apr 2022
      Data Scientist and Scientific collaborator

      Member of the LHCb (Large Hadron Collider beauty) collaboration.

    • DESY

      Jul 2016 - Sept 2016
      Summer Research Student

      Working on data analysis within BELLE II. collaboration

    • EPFL (École polytechnique fédérale de Lausanne)

      Nov 2016 - May 2022

      Focus on data analysis, coordinating and teaching. Focus on data engineering and data analysis, physics, coordinating students and teaching.

      • Postdoctoral Scientist

        Nov 2021 - May 2022

      • PHD Researcher

        Nov 2016 - Nov 2021

    • Faculty of Economics and Business, University of Neuchâtel

      May 2022 - now

      • Lecturer

        Aug 2023 - now

      • Postdoctoral Researcher

        May 2022 - now

  • Licenses & Certifications

    • PRINCE2® Foundation Certificate in Project Management

      AXELOS Global Best Practice
      Feb 2022