Mendel Engelaer

MSc Student


Mendel Engelaer is a MSc student at the Netherlands Cancer Institute (NKI) working on the detection of tumor-infiltrating lymphocytes in breast cancer whole slide images using artificial intelligence for histo-pathological images. He is supervised by Yoni Schirris, Andreas Panteli and Jonas Teuwen. He obtained his Bachelor’s degree in Bèta Gamma with a specialisation in Biomedical Sciences at the University of Amsterdam in 2018. Currently, he is finishing his Master’s degree in Bioinformatics & Systems Biology at the University of Amsterdam and Vrije Universiteit Amsterdam (joint degree).

  1. Y. Schirris, M. Engelaer, A. Panteli, H. M. Horlings, E. Gavves, J. Teuwen, J. E. Tomaszewski, A. D. Ward, "WeakSTIL: weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need", Medical Imaging 2022: Digital and Computational Pathology, 2022-4-4