Miguel Ángel Cámara Vázquez, PhD

R&D Data Scientist at Idoven
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Contact Information
Location
Parla, Community of Madrid, Spain, ES
Languages
  • Español Native or bilingual proficiency
  • Inglés Full professional proficiency
  • Alemán Elementary proficiency

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Credentials

  • Convolutional Neural Networks
    Coursera
    Nov, 2020
    - Sep, 2024
  • Programa Especializado - Deep Learning
    Coursera
    Nov, 2020
    - Sep, 2024
  • Sequence Models
    Coursera
    Nov, 2020
    - Sep, 2024
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
    Coursera
    May, 2020
    - Sep, 2024
  • Structuring Machine Learning Projects
    Coursera
    May, 2020
    - Sep, 2024
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    Coursera
    Nov, 2019
    - Sep, 2024
  • Neural Networks and Deep Learning
    Coursera
    Jun, 2019
    - Sep, 2024

Experience

    • Spain
    • Software Development
    • 1 - 100 Employee
    • R&D Data Scientist
      • Nov 2022 - Present

      Applying advanced analytical methods to biomedical data in order to improve the cardiologist solutions of Idoven. Applying advanced analytical methods to biomedical data in order to improve the cardiologist solutions of Idoven.

    • Spain
    • Higher Education
    • 700 & Above Employee
    • Assistant Professor
      • Sep 2022 - Nov 2022

      Signal Theory, Communications, Telematic Systems and Computation Department. Teaching experience in the following degrees:- Biomedical Engineering Degree (Spanish and English).- Audiovisual and Multimedia Systems Engineering Degree.- Aerospace Engineering in Aeronautics and Navigation Degree.

    • Visiting Professor
      • Sep 2018 - Sep 2022

      Signal Theory, Communications, Telematic Systems and Computation Department.

    • Research Assistant
      • Feb 2017 - Sep 2018

      - Signal Theory, Communications, Telematic Systems and Computation Department.- Research topic: electrocardiographic signal processing, and application of convex optimization in electrocardiographic imaging (ECGI).

    • Spain
    • Research Services
    • 100 - 200 Employee
    • Research Assistant
      • Sep 2016 - Feb 2017

      Group: Biomedical Signal Processing and Interpretation (BIOSPIN).

    • Masters Student
      • Feb 2016 - Sep 2016

      Group: Biomedical Signal Processing and Interpretation (BIOSPIN).

Education

  • Rey Juan Carlos University
    PhD in Information Technologies and Communications, Cum Laude
    2017 - 2021
  • Universitat de Barcelona and Universitat Politècnica de Catalunya
    MSc in Biomedical Engineering, 9.2
    2015 - 2016
  • Universidad Politécnica de Madrid
    BSc in Biomedical Engineering, 7.94
    2011 - 2015

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