Researcher

Francesco Ciompi

Francesco Ciompi is a computational pathology researcher who develops AI to analyze histopathology images. He studied electronic engineering at Pisa and computer vision and AI at Barcelona, completed a PhD in applied mathematics at Barcelona in 2012, joined Radboudumc in 2013, and began co-leading its Computational Pathology Group in 2016. Radboudumc appointed him associate professor in 2022, where his team developed deep-learning neural networks. In 2024, he explained how Radboudumc's Grand Challenge platform could host algorithms and shared the Ammodo Science Award with Jeroen van der Laak and Geert Litjens; in 2025, he coauthored a whole-slide compression paper for pathologist-level prescreening. As of October 2026, he leads a newly established Computational Pathology Group at the Computer Vision Center.

Works
218
Citations
24,482
h-index
41
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2006–2008

    Engineering and computer vision degrees

    He earns a master's degree in Electronic Engineering from the University of Pisa in July 2006. He earns a master's degree in Computer Vision and Artificial Intelligence from the Computer Vision Center of the Autonomous University of Barcelona in September 2008.

  2. 2012

    A PhD in applied mathematics

    He completes a PhD cum laude in Applied Mathematics and Analysis at the University of Barcelona in July 2012.

  3. 2013

    Postdoctoral work at Radboudumc

    In 2013, he joins Radboudumc as a postdoctoral researcher.

  4. 2016

    The Computational Pathology Group

    In 2016, he begins co-leading Radboudumc's Computational Pathology Group.

  5. 2022

    Associate professor at Radboudumc

    In June 2022, he becomes associate professor of computational pathology at Radboudumc. His team develops deep-learning artificial neural networks.

  6. 2024

    Grand Challenge and Ammodo award

    In January 2024, he explains that Radboudumc's Grand Challenge platform will host algorithms and that the Research Software Engineering team built it for global competitions. In March 2024, he receives the Ammodo Science Award with Jeroen van der Laak and Geert Litjens.

  7. 2025

    Pathologist-level slide prescreening

    In 2025, he coauthors a paper on attention-based whole-slide image compression that achieves pathologist-level prescreening of multiorgan routine histopathology biopsies.

  8. As of October 2026

    Leading the CVC pathology group

    As of October 2026, he leads the newly established Computational Pathology Group at the Computer Vision Center.

Career

  1. Since 2026CERCA InstitutionGroup Leader
  2. 2015–2026Radboud University Nijmegen
  3. 2013–2026Radboud University Medical CenterPostdoctoral researcher, Co-leader
  4. 2009–2014Universitat Autònoma de Barcelona

Education

  1. 2012University of BarcelonaPhD in Applied Mathematics and Analysis
  2. 2008Autonomous University of BarcelonaMaster's degree in Computer Vision and Artificial Intelligence
  3. 2006University of PisaMaster's degree in Electronic Engineering

Sources and credits

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  1. Francesco Ciompi appointed Associate Professor of Computational Pathology computationalpathologygroup.eu. Checked 21 October 2026.
  2. Francesco Ciompi - Computational Pathology Group computationalpathologygroup.eu. Checked 21 October 2026.
  3. Using AI to explore connections between gut and brain diseases - Algorithms learn from medical data during virtual hospital visits - Radboudumc radboudumc.nl. Checked 21 October 2026.
  4. Ammodo Science Award for AI researchers at Radboud university medical center - AI turns computers into virtual pathologists - Radboudumc radboudumc.nl. Checked 21 October 2026.
  5. Publications of Francesco Ciompi - Computational Pathology Group computationalpathologygroup.eu. Checked 21 October 2026.
  6. Postdoctoral Position (R2/R3). AI for next-generation biomarker discovery: foundation models for tissue spatial interconnections search - CVC Computer Vision Center cvc.uab.es. Checked 21 October 2026.