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Cheng Zhang

Cheng zhang

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location of Cheng ZhangParis et périphérie
Phone number of Cheng Zhang+91 xxxx xxxxx
Followers of Cheng Zhang347 followers

  • Timeline

    Jan 2017 - Sept 2017

    Techinical Intern

    IBM
    Mar 2018 - Jan 2018

    Research Intern

    Société Générale
    Jan 2019 - Sept 2019

    Research Internship

    INCEPTO
    Jan 2020 - Sept 2022

    Research Scientist

    Philips
    Current Company
    Oct 2022 - now

    Research Engineer at InstaDeep

    InstaDeep

  • About me

    Research Engineer at InstaDeep

  • Education

    • École normale supérieure paris-saclay

      2018 - 2019
      Master's degree applied mathematics

      Mathématiques, Vision, Apprentissage.Course: Reinforcement learning, Object Recognition and Computer vision, Probabilistic graphical models, deep learning.

    • École polytechnique

      2015 - 2019
      Master's degree applied mathematics, data science

    • Ensae paris

      2018 - 2019
      Master's degree data science

      Data Science, Statistique et Apprentissage.Course: Apprentissage statistique, Statistique Bayesienne, Computational statistics.

    • Southeast university

      2011 - 2015
      Bachelor of engineering - be electrical and electronics engineering

  • Experience

    • Ibm

      Jan 2017 - Sept 2017
      Techinical intern

      The technical intern of the Extreme Blue program at IBM France for three month.Implemented a prototype aiming at reconciling three databases of PerformanceRight Organisations and constructing a payment system on Blockchain byconnecting Hyperledger Composer and IBM ODM.

    • Société générale

      Mar 2018 - Jan 2018
      Research intern

      • Proposed a doubly-stochastic model to detect anomalies in risk analysis data.• Utilised Markov Chain to model market scenario dynamism and LSTM networksto predict risk metric values given a certain market scenario and risk metric valueson past days.• Get an accuracy of 96%.

    • Incepto

      Jan 2019 - Sept 2019
      Research internship

      Weakly supervised learningfor localisation and segmentation of liver in radiological images.

    • Philips

      Jan 2020 - Sept 2022
      Research scientist

    • Instadeep

      Oct 2022 - now
      Research engineer at instadeep

  • Licenses & Certifications