Clément Grisi
PhD Student at Radboudumc
Nijmegen, Gelderland, Netherlands
Summary
👤
Senior🎓
Top SchoolClément Grisi is a PhD student in computational pathology at Radboudumc with eight years of experience applying applied mathematics, computer science and machine learning to histopathology and cancer prognostics. Trained at École normale supérieure Paris-Saclay and École des Ponts ParisTech, he focuses on weakly supervised learning and NLP to build more effective, transparent and explainable predictive models for pathology. His industry research at Paige and internships at Gustave Roussy grounded his work in practical biomarker detection and relapse prediction for breast cancer. Comfortable bridging rigorous theory and production-oriented research, he combines deep mathematical insight with hands-on model development and clinical collaboration. An uncommon detail: he has balanced academic research with remote consultancy and iterative product-focused roles, demonstrating a knack for transitioning prototypes toward clinical impact.
8 years of coding experience
Master of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at École normale supérieure Paris-SaclayMaster of Science - MS, Mathematics and Computer Science, Master of Science - MS, Mathematics and Computer Science at École des Ponts ParisTechMathematics & Physics (MPSI/MP), Mathematics & Physics (MPSI/MP) at Lycée Aux Lazaristes
English, Italian, French
Github Skills (70)
video-understanding9
high-resolution9
python9
gpu9
backbone9
machine-learning9
histopathology9
supervised-learning9
weakly-supervised-learning9
self-supervised-learning8
deep-learning8
keras8
biomedical-engineering8
hierarchical8
unsupervised-learning8
Programming languages (4)
Github contributions (5)
clemsgrs/stain-normalization
Jan 2021 - Dec 2021
Contributions:51 commits, 48 pushes, 1 branch in 10 months
clemsgrs/hs2p
Dec 2022 - Mar 2025
Histopathology Slides Preprocessing Pipeline
Contributions:16 PRs, 84 pushes, 10 branches in 2 years 3 months
processing-pipelinepre-processinghistopathologypipeline
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