Thomas de Bel

AI Scientist at Aiosyn
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Contact Information
us****@****om
(386) 825-5501
Location
Netherlands, NL

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Experience

    • Netherlands
    • Medical Equipment Manufacturing
    • 1 - 100 Employee
    • AI Scientist
      • Jan 2022 - Present

  • Radboudumc
    • Nijmegen Area, Netherlands
    • PHD Student
      • Mar 2018 - Present

      I am part of the Digital Pathology group at the Radboudumc. My thesis is titled: "Deep learning based histological assessment of the stroma for improved risk stratification of ductal carcinoma in situ (DCIS) patients" I am part of the Digital Pathology group at the Radboudumc. My thesis is titled: "Deep learning based histological assessment of the stroma for improved risk stratification of ductal carcinoma in situ (DCIS) patients"

    • Student Assistant
      • 2016 - 2017

      Assisting with experiments, programming experiments & training models for speech recognition. Assisting with experiments, programming experiments & training models for speech recognition.

    • Netherlands
    • Research Services
    • 700 & Above Employee
    • Student Assistant
      • 2015 - 2015

      Student Assistant for the course Software Verification. Subjects in this course: temporal logic, type systems, abstract interpretation & theorem proving. Student Assistant for the course Software Verification. Subjects in this course: temporal logic, type systems, abstract interpretation & theorem proving.

    • Wedstrijdsecretaris
      • 2011 - 2012

      - Sponsor Commissie (2012 - 2013) - Sponsor Commissie (2012 - 2013)

Education

  • Radboud University Nijmegen
    Master of Science - MS, Data Science
    2016 - 2017
  • Radboud University Nijmegen
    Bachelor of Science - BS, Computer Science
    2013 - 2016
  • Radboud University Nijmegen
    Bachelor's degree, Medicine
    2009 - 2013

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