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Hakim Achterberg

Research Software Engineer, Erasmus MC

Interests

  • Software Engineering
  • IT Architecture
  • Processing workflows
  • Metadata models

Education

  • PhD in Biomedical Imaging, 2017

    Erasmus MC

  • MSc in Biomedical Imaging, 2009

    Eindhoven University of Technology

Research lines

  • Biomedical Imaging Research Infrastructure

Projects

  • EUCAIM
  • ICAI Stroke Lab
  • PATH2XNAT

Biography

Hakim Achterberg studied Biomedical Engineering at the Eindhoven University of Technology. In 2009 he finished his thesis “Optimal Acquisition Schemes in High Angular Diffusion Imaging” and received his M.Sc. degree. In December 2009 Hakim started his PhD project in the BIGR group at the Erasmus Medical Centre Rotterdam. As of 2012, Hakim worked as a research software engineer next to his PhD project. In 2017, Hakim successfully defended his PhD Thesis “Quantitative Imaging Biomarkers for Hippocampus-based Dementia Prediction”.

Since obtaining his PhD degree Hakim worked at BIGR as a Research Software Engineer full-time. He focuses on the IT infrastructure for large imaging studies such as the Rotterdam Scan Study. This includes designing and creating software for the management, storage, transfer, processing and annotation of large imaging dataset. For the processing both automatic pipelines as well as integrated annotation tools are used. Hakim is the main developer for a number of tools, including the open-source workflow engine Fastr and Python XNAT communication package xnatpy.

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