Chris Kamphuis

Data Scientist at Spinque
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Contact Information
us****@****om
(386) 825-5501
Location
Nijmegen, Gelderland, Netherlands, NL
Languages
  • Dutch Native or bilingual proficiency
  • English Full professional proficiency

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Bio

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Experience

    • Netherlands
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Data Scientist
      • Jul 2023 - Present

    • Netherlands
    • Research Services
    • 700 & Above Employee
    • PhD Student
      • Oct 2018 - Present

    • Student Assistant
      • Mar 2014 - Oct 2018

      I have been student assistant for the following courses:* Bayesian Statistics* Information Retrieval* Data Mining* Introduction Robotics* Introduction Artificial Intelligence* Modern Software Development Techniques

    • Robotlab manager
      • Feb 2015 - Aug 2016

      I was responsible for the organizational tasks of the robotlab ot the Radboud University.

    • Ambassador
      • Sep 2013 - Aug 2016

      Ambassador for Bachelor Artificial Intelligence

    • United States
    • Software Development
    • 700 & Above Employee
    • Applied Scientist Intern
      • Jun 2020 - Dec 2020

      Applied Scientist Intern at the Search Relevance team in Barcelona Applied Scientist Intern at the Search Relevance team in Barcelona

    • Netherlands
    • Education Administration Programs
    • 1 - 100 Employee
    • Webdeveloper
      • May 2017 - Sep 2018

    • Tutor / Examtrainer
      • Dec 2013 - May 2017

      At Bijlesnetwerk I was tutor in mathematics and chemistry. I also gave training in mathematics as preparation for the final school exams

    • Netherlands
    • Hospitals and Health Care
    • 700 & Above Employee
    • Research Intern
      • Feb 2018 - Aug 2018

      I am working at the Diagnostic Image Analysis Group (DIAG) of the Radboud UMC for my master thesis. The goal of this project is to develop an algorithm for the detection and segmentation of retinal layers in OCT-scans of severely affected retinas. I approach this problem by applying different deep learning techniques. I am working at the Diagnostic Image Analysis Group (DIAG) of the Radboud UMC for my master thesis. The goal of this project is to develop an algorithm for the detection and segmentation of retinal layers in OCT-scans of severely affected retinas. I approach this problem by applying different deep learning techniques.

    • Netherlands
    • Hospitals and Health Care
    • Junior Data Scientist
      • Jul 2017 - Dec 2017

      At MOMALA I worked on image analysis for mobile phones using deep learning techniques. At MOMALA I worked on image analysis for mobile phones using deep learning techniques.

Education

  • Radboud Universiteit Nijmegen
    Master of Science (MSc), Computer science
    2016 - 2018
  • Radboud University Nijmegen
    Bachelor of Science (BSc), Kunstmatige Intelligentie
    2012 - 2016

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