Jeroen van der Laak, Ph.D.
Jeroen van der Laak is associate professor in digital Pathology at the Radboud University Medical Center in Nijmegen, The Netherlands. He leads a research group focussing on computational Pathology. His research investigates the use of deep learning based analysis of whole slide images for different applications: improvement of routine pathology diagnostics, objective quantification of immunohistochemical markers, and study of new imaging biomarkers for prognostics. Jeroen has an MSc in computer science and acquired his PhD from the Radboud University in Nijmegen. He co-authored over 80 peer-reviewed publications, is member of the editorial board of the Journal of Pathology Informatics and organizer of sessions at the European Congress of Pathology and Pathology Visions. In 2016 and 2017, he coordinated the highly successful CAMELYON grand challenges. He acquired research grants from the European Union and the Dutch Cancer Society, among others. Jeroen is frequently invited for conference presentations and regularly appears in popular media.