Thierry Meerbothe obtained his bachelor’s (2019) and master’s (2021) degree in Applied Physics at Delft University of Technology in the physics for health track. He did a thesis project in a collaboration between TU Delft and the Netherlands Cancer Institute (NKI) to develop a deep learning framework for dose prediction in patients with prostate cancer planned with autoplanning. Since September 2021 Thierry works as a PhD student in the radiotherapy department of the UMC Utrecht and the Computational imaging group under the supervision of Stefano Mandija and Nico van den Berg. His focus is on the development of clinical applications of Electrical Properties Tomography through electromagnetic simulations, MRI measurements and deep learning.


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