Rens van Schouwenburg

Rens van Schouwenburg obtained his Bachelor's degree in Business & IT at the University of Twente in 2018. From this year, he moved to Utrecht to pursue a Master's degree in Artificial Intelligence at the Utrecht University. He performed his Master's thesis at the Computational pathology group, where he worked on deep learning methods in Gleason grading in prostate samples under supervision of Wouter Bulten and Geert Litjens.