CV

Education

• PhD Student, Mines Paris PSL × Sanofi, Nov 2023 – Nov 2026
  • Topic: Deep Learning for Histopathological Images / H&E to multiplex immunofluorescence translation
  • CBIO & STIM labs, Mines Paris PSL and Sanofi (CIFRE)
  • Supervisors: Roger Trullo, Albert Pla Planas, Etienne Decencière, Thomas Walter
• Master 2 Data Science, Institut Polytechnique de Paris, Sept 2020 – Sept 2021
  • Apprenticeship program (KeenEye)
  • Courses: Deep Learning, Optimization Theory, Computer Vision, NLP
• Engineering Degree (MSc), Computer Science and Mathematics, Télécom SudParis, Sept 2017 – Sept 2020
  • Last year specialization in AI at Télécom Paris
  • Rank: 1st year 58/237, 2nd year 78/240
• Classe Préparatoire (MPSI/MP*), Lycée La Borde Basse, Castres, Sept 2015 – Jul 2017
  • Mathematics and Physics
  • Preparation for top fench engineering schools

Work Experience

• Data Scientist — Tribun Health, Paris, Oct 2022 – Oct 2023
  • Saffron prediction from H&E slides and HER2 subclassification on IHC slide images
• Data Scientist — KeenEye, Paris, Oct 2021 – Oct 2022
  • Segmentation of histological prognostic biomarkers of NASH liver disease
• Research Internship & Apprenticeship — KeenEye, Paris, Apr 2020 – Oct 2021
  • Improving transfer learning on medical images through self-supervised learning

Teaching

• Teaching Assistant — Deep Learning for Image Analysis
  • Lab sessions for
    • M2 IASD (Master’s 2nd year in Artificial Intelligence, Systems and Data), Paris Dauphine University
    • Mines Paris, PSL

Supervision

• Co-supervision of Master students
  • Co-supervised 2 Master students on mitotic phase classification, building upon our MIDOG challenge work

Skills

• Machine Learning & Deep Learning: PyTorch, Pytorch Lightning, TensorFlow, scikit-learn
• Computer Vision: Histopathology (H&E, mIF, IHC), WSI analysis, X-ray, satellite images, natural images
• Topics: Self-supervised learning, weakly supervised learning on whole slide images, image translation, foundation models
• Programming: Python, bash
• Tools: Git, Docker, SLURM, Weights & Biases, Hydra

Awards & Competitions

• 1st place on Task 2 & 2nd place on Task 1 — MIDOG 2025 Challenge at MICCAI
• Kaggle Competition Expert — Best rank: 2672 (Top 7%, SIM-ACR Pneumothorax Segmentation)