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General Information

Full Name Ruben Dörfel
Languages English (Proficent), German (Native)
Programming Python, MATLAB, C++, R
Skills Machine/Deep Learning, Medical Imaging Systems, Image Processing/Analysis, Software Development, Neuroscience
Hobbies Climbing, Hiking, Skiing, Reading, Coding, Learning

Education

  • 2023-Today
    Ph.D. in Medical Science
    Karolinska Institutet
    • Specialization Medical Imaging, Machine Learning, and Image Processing
  • 2020-2023
    M.Sc. in Biomedical Engineering
    Technical University Denmark & University of Copenhagen, Copenhagen, Denmark
    • Specialization Medical Imaging, Machine Learning, and Image Processing
    • Thesis Multimodal brain age prediction - Feature selection and comparison between machine learning models using MRI- and PET-derived measures
  • 2016-2020
    B.Sc. in Biomedical Engineering
    Technische Universität Ilmenau, Ilmenau, Germany
    • Specialization Biomagnetism, Signal Processing, Medical Imaging
    • Thesis Integration of continuous HPI data into real-time processing of MEG data

Experience

  • Nov. 2023 - Today
    PhD Student
    Karolinska Institutet, Center for Psychiatry Research; Copenhagen University Hospital Rigshospitalet, Neurobiology Research Unit
    • Statistical modeling and machine learning on neuroimaging data to develop biomarkers of the aging brain.
  • Mar. 2023 - Nov. 2023
    Research Assistant - Data Analysis
    Copenhagen University Hospital Rigshospitalet, Neurobiology Research Unit;
    • Statistical modeling and machine learning on neuroimaging data to develop biomarkers of the aging brain.
  • Feb. 2022 - Feb. 2023
    Student Researcher - Data Analysis
    Copenhagen University Hospital Rigshospitalet, Neurobiology Research Unit
    • Statistical modeling and machine learning on MRI- and PET-derived measures to develop biomarkers of the aging brain.
  • Jun. 2021 - Feb. 2023
    Student Worker - Software Engineering
    Demant A/S, R&D Audiological Solutions
    • Development of unit-testing framework and improvement of continuous integration pipeline with hearing aids in the loop.
  • Sep. 2022 - Oct. 2022
    Visiting Researcher - Data Analysis
    Karolinska Institutet, Center for Psychiatry Research - PET Group
    • Image processing and analysis of Positron Emission Tomography images and Magnetic Resonance Images.
  • Nov. 2019 - Mai 2020
    Student Researcher - Research Software Development
    Massachusetts General Hospital, Harvard Medical School, Martinos Center for Biomedical Imaging
    • Development of algorithms for real-time movement correction in MEG measurements and online updating of neural source reconstruction
  • Mar. 2018 - Aug. 2019
    Student Worker - Embedded Software
    Institut für Mikroelektronik- und Mechatronik Systeme gGmbH, System Design
    • Setup, test, and evaluate sensors and embedded components in Arduino based environments.

Grants and Scholarships

  • Jul. 2020 - Sep. 2020
    BND Summer of Code
    Bundesnachrichtendienst (BND)
    • Project - Novel software tools for the processing of brain signals in a Brain-Computer Interface (BCI)
    • Purpose - Development and support of open-source software.
  • Nov. 2019 - Apr. 2020
    PROMOS Travel Stipend
    German Academic Exchange Program (DAAD)
    • Purpose - Travel stipend for academic education and training abroad.
    • Institution - MGH/HST Martinos Center for Biomedical Imaging

Teaching, Presentations, and Workshops

  • Oct. 2024
    Workshop - Session Chair
    Danish Digitalization, Data Science and AI 2.0, Nyborg, Denmark
    • Title - Level up your data & life science lab’s reproducibility
  • Sept. 2024
    Lecture
    Department of Computer Science, University of Copenhagen, Denmark
    • Title - Prediction of brain age using structural magnetic resonance imaging
  • Jun. 2024
    Poster Presentation
    Organization for Human Brain Mapping (OHBM), Seoul, South Korea
    • Title - Multimodal brain age estimation using machine learning
  • Feb. 2024
    Poster Presentation
    Danish Digitalization, Data Science and AI, Nyborg, Denmark
    • Title - Multimodal brain age estimation using machine learning
  • Dec. 2023
    Oral Presentation
    NRU Christmas Symposium, Copenhagen, Denmark
    • Title - Brain Age; Biological aging biomarker or just an expensive chronological age measure?
  • Oct. 2023
    Oral Presentation
    Nordic AI Meet, Copenhagen, Denmark
    • Title - Multimodal brain age estimation using machine learning
  • Sept. 2023
    Lecture
    Department of Computer Science, University of Copenhagen, Denmark
    • Title - Multimodal brain age estimation using machine learning