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20032023

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Persoonlijk profiel

Quote

“My aim is to put citizens in charge of their personal health data.”

Research profile

Pieter Van Gorp is an associate professor at the School of Industrial Engineering at Eindhoven University of Technology (TU/e). He works at the Information Systems lab, with a primary focus on digital health tools. Pieter conducts research on personal health data as an economic asset. He considers health records as well as evidence-based workflow and decision support models as examples of this asset with underused economic potential.

In the area of health records, he has performed research on MyPHRMachines, a platform for securely analyzing Personal Health Records in the cloud. In the area of workflow models, he has contributed novel transformations for UML, BPMN and Petri-Net models. Van Gorp is also a facilitator of reproducible research (e.g. via the SHARE20.eu cloud.)

Academic background

Pieter obtained his PhD degree in Software Engineering from the University of Antwerp, where he also held a postdoc position. In addition to his work as Associate Professor at TU/e, he is also program manager of the health track in EAISI, with a primary focus on matching TU/e data science research with societal challenges and industrial needs. Pieter also holds a part-time appointment at Utrecht University of Applied Sciences. He also regularly gives talks to ‘non-scientific’ audiences, on topics such as personal health data and gamification.

Expertise gerelateerd aan duurzame ontwikkelingsdoelstellingen van de VN

In 2015 stemden de VN-lidstaten in met 17 wereldwijde duurzame ontwikkelingsdoelstellingen (Sustainable Development Goals, SDG's) om armoede te beëindigen, de planeet te beschermen en voor iedereen welvaart te garanderen. Het werk van deze persoon draagt bij aan de volgende duurzame ontwikkelingsdoelstelling(en):

  • SDG 3 – Goede gezondheid en welzijn

Vingerafdruk

Verdiep u in de onderzoeksgebieden waarop Pieter Van Gorp actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.
  • 1 Soortgelijke profielen

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