Rémy Dubois

Data Scientist at OWKIN
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Contact Information
us****@****om
(386) 825-5501
Location
Paris, Île-de-France, France, FR
Languages
  • Français Native or bilingual proficiency
  • Anglais Full professional proficiency
  • Chinois Elementary proficiency
  • Espagnol Limited working proficiency

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Experience

    • United States
    • Biotechnology Research
    • 200 - 300 Employee
    • Data Scientist
      • Nov 2018 - Present

    • France
    • Hospitals and Health Care
    • 700 & Above Employee
    • Research intern
      • Feb 2018 - Aug 2018

      Biological image analysis project aiming at studying subcellular localization patterns of ARNms, tutored by Thomas Walter (CBIO). Unsupervised cell & nuclei segmentation followed by supervised classification of cell images. Study of a Deep Domain Adaptation framework aiming at curbing the lack of natural data annotations, through the use of an image synthesis model. Data engineering for unstructured database handling and design of test pipelines (Luigi). Biological image analysis project aiming at studying subcellular localization patterns of ARNms, tutored by Thomas Walter (CBIO). Unsupervised cell & nuclei segmentation followed by supervised classification of cell images. Study of a Deep Domain Adaptation framework aiming at curbing the lack of natural data annotations, through the use of an image synthesis model. Data engineering for unstructured database handling and design of test pipelines (Luigi).

    • Norway
    • Research Services
    • 1 - 100 Employee
    • Research intern
      • Apr 2017 - Aug 2017

      • Research assistant within the Data Assimilation team in the Weather Forecasting and Prediction Group. • Studied the impact of correlated observation errors on computational time & Efficiency of HMM-based (EnKF and LETKF) algorithms. • Enriched the Python3 DAPPER library to allow time efficiency assessment and twin experimenting comparison. • Research assistant within the Data Assimilation team in the Weather Forecasting and Prediction Group. • Studied the impact of correlated observation errors on computational time & Efficiency of HMM-based (EnKF and LETKF) algorithms. • Enriched the Python3 DAPPER library to allow time efficiency assessment and twin experimenting comparison.

    • France
    • Advertising Services
    • 700 & Above Employee
    • Supply Data Analyst
      • Aug 2016 - Feb 2017

      • Developed an outlier detection tool based on the Rosner’s statistical test, in collaboration with other analytical teams. • Investigated Criteo's buying efficiency in 2nd price auction marketplaces, implemented automated methods for unfair bidding detection. • Closely worked with the Business Escalation team in order to identify and fix in a highly paced framework market threats. • Developed an outlier detection tool based on the Rosner’s statistical test, in collaboration with other analytical teams. • Investigated Criteo's buying efficiency in 2nd price auction marketplaces, implemented automated methods for unfair bidding detection. • Closely worked with the Business Escalation team in order to identify and fix in a highly paced framework market threats.

    • France
    • Retail Luxury Goods and Jewelry
    • 700 & Above Employee
    • Contrôle qualité
      • Feb 2014 - Feb 2014

      Quality control of leather products Quality control of leather products

Education

  • MINES ParisTech
    Master of Sciences and Executive Engineering, Engineering
    2014 - 2018
  • The University of Hong Kong
    exchange student, engineering
    2015 - 2015
  • Lycée Marcelin berthelot
    Sciences
    2012 - 2014
  • Lycée Saint Michel de Picpus
    French Baccalauréat, Sciences, mathematics speciality

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