Cyril de Kock

Cyril de Kock was a master's student Data Science at Radboud University Nijmegen. His first degree was a BSc Artificial Intelligence from Utrecht University. Originally interested in Linguistics, his thesis was titled "Language Identification in French Afro-Trap". Eager to learn more about contemporary applications of AI, he joined Radboud University. Under the supervision of Francesco Ciompi, Witali Aswolinskiy, Mart van Rijthoven and Tom Heskes he performed a master internship aimed at tumor-infiltrating lymphocyte detection and segmentation as part of AI for Health program.

Finished research projects:

• Automated Quantification of Tumor-Infiltrating Lymphocytes

Member of:

• Diagnostic Image Analysis Group
• Computational Pathology Group