Robert Dürichen

Head of ML Research at Sensyne Health
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Oxford Area, NZ
Languages
  • German Native or bilingual proficiency
  • English Full professional proficiency
  • Spanish Limited working proficiency
  • French Elementary proficiency
  • Dutch Elementary proficiency
Skills

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Credentials

  • Convolutional Neural Networks
    Coursera
    Apr, 2018
    - Nov, 2024
  • Deep Learning Specialization
    Coursera
    Apr, 2018
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Feb, 2018
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    Feb, 2018
    - Nov, 2024
  • Sequence Models
    Coursera
    Feb, 2018
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera
    Feb, 2018
    - Nov, 2024

Experience

  • Sensyne Health
    • United Kingdom
    • Biotechnology Research
    • 1 - 100 Employee
    • Head of ML Research
      • Apr 2021 - Present

    • Principle Machine Learning Researcher
      • May 2020 - Apr 2021

      Team lead and ML researcher with a focus on using DL methods for the analysis of large scale electronical healthcare record (EHR) data.

    • Lead Machine Learning Researcher
      • Jan 2020 - Apr 2020

      Team lead and ML researcher with a focus on using DL methods for the analysis of large scale electronical healthcare record (EHR) data.

    • Senior Machine Learning Researcher
      • Sep 2019 - Jan 2020

      Development of new algorithms and machine learning approaches for the evaluation of large scale clinical healthcare data.

  • Bosch Corporate Research
    • Machine Learning Researcher and Product Owner
      • Jun 2015 - Jul 2019

      Development of algorithms and new machine learning techniques in the area of user monitoring and modelling for helath, smart home, consumer devices and automotive applications. This includes topic as deep learning algorithms for multivariate time series analysis, edge computing, and exploring (and combining) new physiological sensor for advanced user monitoring. Development of algorithms and new machine learning techniques in the area of user monitoring and modelling for helath, smart home, consumer devices and automotive applications. This includes topic as deep learning algorithms for multivariate time series analysis, edge computing, and exploring (and combining) new physiological sensor for advanced user monitoring.

  • University of Lübeck - Graduate School for Computing in Medicine and Life Sciences
    • Ph.D. Student
      • Jul 2010 - Nov 2014

  • University of Oxford
    • United Kingdom
    • Research Services
    • 700 & Above Employee
    • Research Visitor
      • Oct 2013 - Dec 2013

      Focus on Multi-Task Gaussian Process models for multivariate signal analysis with applications in vital-sign analysis and respiratory motion compensation Focus on Multi-Task Gaussian Process models for multivariate signal analysis with applications in vital-sign analysis and respiratory motion compensation

  • Philips
    • Netherlands
    • Hospitals and Health Care
    • 700 & Above Employee
    • Master Thesis Project
      • Oct 2008 - Jul 2009

      Topic: “Optimization of a diffuse reflectance spectroscopy method for hemoglobin measurements in biological tissue” Topic: “Optimization of a diffuse reflectance spectroscopy method for hemoglobin measurements in biological tissue”

  • DKFZ German Cancer Research Center
    • Germany
    • Research Services
    • 700 & Above Employee
    • Student Internship
      • Mar 2008 - Jul 2008

      Working on construction of implantable self-resonant micro coils for highresolution MRI Working on construction of implantable self-resonant micro coils for highresolution MRI

  • Fraunhofer IPMS
    • Germany
    • Research Services
    • 100 - 200 Employee
    • Student Research Project
      • Aug 2007 - Mar 2008

      Student research project: “Control unit design for amplitude and phase synchronisation of micro scanner mirrors“ Student research project: “Control unit design for amplitude and phase synchronisation of micro scanner mirrors“

  • Siemens
    • Germany
    • Automation Machinery Manufacturing
    • 700 & Above Employee
    • Summer Internship
      • Aug 2004 - Oct 2004

Education

  • Universität zu Lübeck
    Ph.D., Computer Science
    2010 - 2014
  • Dresden University of Technology
    Diplom Ingenieur, Mechatronik
    2003 - 2009
  • University of Valladolid
    Erasmus Semester
    2006 - 2007
  • Technische Universität Dresden
    Supplementary subject “Regional Studies of Latin America”
    2004 - 2007

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