Francesco Ciompi
Associate Professor
Francesco Ciompi is Associate Professor in Computational Pathology and Research Group Leader in AI for Precision Medicine at the Department of Pathology of Radboud University Medical Center in Nijmegen, the Netherlands.
His main research focus is artificial intelligence for precision medicine in the area of pathology, with applications to discovery and implementation of predictive and prognostic biomarkers in immuno oncology, and computer aided diagnosis for large-scale digital pathology and multi-modal data. As a guest lecturer at Radboud University, he has been the creator, main teacher and coordinator of the Master's course Intelligent Systems in Medical Imaging.
Francesco obtained his Master's degree in Electronic Engineering from the University of Pisa in July 2006 and the Master's degree in Computer Vision and Artificial Intelligence from the Computer Vision Center of the Autonomous University of Barcelona in September 2008. In July 2012 he obtained the PhD (cum laude) from the University of Barcelona. In 2013, he joined Radboudumc as a postdoctoral researcher and since 2016 he is co-leading the Computational Pathology Group of Radboudumc.
He is the receiver of several Dutch and European grants, including a prestigious VIDI personal grant from the NWO to improve immunotherapy treatment for non-small cell lung cancer, the AMMODO Science Award for Groudbreaking Research in the field of Life Science to work on foundation models for digital pathology, grants from the Dutch Cancer Society (KWF), leading the high-risk project PROACTING and principal investigator of the COMMITMENT project, and from the EU, leading the work package on artificial intelligence in the BIGPICTURE and the ExaMode projects, and leading development of AI for computational pathology in the IMAGIO and HEREDITARY projects.
He is the main organizer of the TIGER challenge, of the COMPAY workshop and the COMPAYL workshop at the MICCAI conference, of the DALPHIN benchmark project, member of the International Immuno-Oncology Biomarker Working Group on Breast Cancer and of the editorial board of Medical Image Analysis and of the Nature Portfolio's journal Communications Medicine.
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