Building AI systems
that advance cancer care.
Research Fellow in Computational Pathology & AI at Mayo Clinic, developing deep learning methods for gigapixel-scale pathology image analysis and multi-modal cancer diagnostics & prognostics.
PhD from LaTIM, INSERM UMR1101 (Université de Bretagne Occidentale), focused on AI-driven therapeutic monitoring of colorectal cancer liver metastases — from organ and lesion segmentation to treatment response assessment. Collaboration with the French Federation of Digestive Oncology (FFCD).
Research Fellow — Computational Pathology & AI
Mayo Clinic, Rochester, MN
PhD — Medical Image Analysis
LaTIM, INSERM UMR1101 · Université de Bretagne Occidentale
R&D Intern — AI for Medical Imaging
Dassault Systèmes
Research Intern — Digital Pathology & AI
LIRMM (CNRS), Montpellier
MEng — Electrical & Electronics Engineering
ENSEA · Exchange at NTNU, Norway
Focus areas
Computational Pathology
AI for gigapixel whole-slide image analysis. Multi-modal integration with clinical, molecular, and imaging data for precision oncology.
Tumor Segmentation
Instance-aware deep learning for detection and segmentation of colorectal cancer liver metastases in CT. Transfer learning across clinical datasets.
Surgical Planning AI
Automated liver resection planning — predicting future liver remnant from anatomical and pathological segmentation masks.
Cross-Domain Transfer
Cross-dimensional knowledge transfer and multi-modal fusion for robust model deployment across institutions and imaging protocols.
Clinical Trials
PRODIGE 9 & 20
AI imaging criteria for treatment response. Organ atrophy as predictive factor.
Liver Metastases Monitoring
Automatic liver and lesion segmentation for metastatic colorectal cancer patients.
BEVATROPHY
Multi-organ segmentation models for body composition in clinical trials.
Selected work
Exploring learning transferability in deep segmentation of colorectal cancer liver metastases
Computers in Biology and Medicine
Automatic future remnant segmentation in liver resection planning
Int. J. Computer Assisted Radiology and Surgery
Association between induced organ atrophy assessed by artificial intelligence-generated automatic segmentation and efficacy of bevacizumab in combination with chemotherapy in metastatic colorectal cancer
Cancer Imaging