ABOUT ME


  • Python
    This is the primary programming language that I use on a daily basis. I mainly work with packages like Numpy, Pandas, Matplotlib, Scikit-learn and Pytorch for tasks that range from data analysis to deep learning. Additionally, I use packages like Request and BeautifulSoup for web scraping tasks.
  • Artificial Intelligence
    My experience in AI comes from the development of Machine and Deep Learning algorithms, ranging from simple linear regression to more advanced algorithms like multi-view ResNets, transformers and multi-task algorithms.
  • Medical Imaging
    Since 2019, I specialize in Medical Imaging Analysis, specifically in Radiology, working with 2D and 3D modalities including phantom, X-ray, and CT images.
  • Git+GitHub
    During all projects and software development, I use Git as a version control system to keep track of file changes.
  • 2022 - current
    PhD Candidate at Radboudumc, Nijmegen
  • 2021 - 2022
    Data Scientist at Mentech, Eindhoven
  • 2020 - 2021
    Data Science Intern at LRCB, Nijmegen
  • 2019 - 2020
    Data Science Intern at The D-Lab, Maastricht
  • 2018 - 2020
    Student Job: Electrical Engineering at Dinnissen Proces Technology, Sevenum
  • MSc. Biomedical Sciences and AI
    Maastricht University
  • BSc. Biometrics
    Zuyd University of Applied Science
  • Traineeship in Data Engineering
    Closesure (League of Talents)
  • Scientific Integrity
    Radboud University
  • Writing Scientific Articles
    Radboud University
  • Project Management
    Radboud Univeristy
  • Convolutional Neural Networks
    Coursera
  • Neural Networks and Deep Learning
    Coursera
  • Intelligent Systems in Medical Imaging
    Radboudumc
  • Microsoft Azure Fundamentals (AZ-900)
    Microsoft
  • Agile Foundation
    Agile Consortium
DrePeeters

DRE PEETERS

dre.peeters@hotmail.com