CV

Doctor of Philosophy in Computer Science (Ph.D.)

• Thesis title: Collaborative learning of joint medical image segmentation tasks from heterogeneous and weakly-annotated data.
• Supervisors: Prof. T. Vercauteren, Prof. S. Ourselin
• Merit: Selected for the King’s Outstanding Thesis Prize 2023

Master of Science in Mathematics, Vision, Learning (MVA),

• Major in: Probabilistic Graphical Models, Kernel Methods, Discrete Inference and Learning
• Thesis title: Learning Tumor And Tissue Segmentation From Disjoint Datasets
• Supervisors: Prof. T. Vercauteren, Prof. N. Paragios
• Merit: Highest Honors

Diplôme d'Ingénieur in Applied Mathematics

• Major in: Theory of Probabilities, Modern Applied Statistics, Optimization, Reinforcement Learning
• Supervisor: Prof. N. Paragios

Marie Sklodowska-Curie Fellow

• Registration of pre/intra/post operative MR and ultrasound images for image-guided brain surgery.
• Advisor: Prof. D. Wassermann, Prof. O. Colliot

Postdoctoral Research Fellow

• Cross-modality image synthesis with missing data for image-guided brain surgery.
• Advisors: Prof. S. Wells, Prof. T. Kapur, Prof. A. Golby

Research Scientist Intern

• Developed a deep learning-based image demosaicking algorithm for snapshot hyperspectral images.

PhD Student

• Collaborative learning of joint medical image segmentation tasks from heterogeneous and weakly-annotated data.
• Supervisor: Prof. T. Vercauteren

Research Intern

• Developed a new approach to perform joint brain tissue and lesion segmentation. Long Oral presentation at MIDL 2019.
• Supervisor: Prof. T. Vercauteren

MSc Student

• Mathematics, Computer Vision and Machine Learning. Highest Honors.

MSc Student

• Applied Mathematics: Probabilities, Statistics, Optimization, Reinforcement Learning.

Software Engineering Intern,

• Developed and implemented matching algorithms for a networking platform with 2,000 premium business profiles (C-Level, entrepreneurs, VCs). Combined various sources of information (platform logs, text profile descriptions, event attendances).

• Marie Skłodowska-Curie Fellow (score 100/100 - top 1%)

• Selected for the King’s Outstanding Thesis Prize

• Travel Student Award MICCAI 2021
• Honorable Mention Reviewer Award MICCAI 2021
• Best Poster Presentation Award BMEIS School PGR Symposium

• Learn2Reg Challenge 2024 - MICCAI, Marrakesh (October, 6 2024). Lead co-organizer.

• CrossMoDA Challenge 2023 - MICCAI, Vancouver (October, 8 2023). Lead organizer.

• Information Processing in Medical Imaging (IPMI) – Bariloche (June, 18-23 2023). Session chair.

• Boston Medical Imaging Workshop 2022 – Boston (October, 21 2022). Session chair.

• CrossMoDA Challenge 2022 - MICCAI, Singapore (September, 17 2022). Lead organizer.

• CrossMoDA Challenge 2021 - MICCAI, online (September, 27 2021). Lead organizer.

• Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, United States (virtual)
• MICCAI 2024, Marraskesh, Morocco (Poster)
• Institut du Cerveau, Paris, France

• Massachusetts Institute of Technology, MIT CSAIL, Cambridge, United States
• MICCAI 2023, Vancouver, Canada (Poster)
• Inria Paris-Saclay, MIND team, France
• University Rey Juan Carlos, LAIMBIO lab, Madrid, Spain
• Congress of Neurological Surgeons, Washington, United States (Oral presentation)

• MICCAI 2021, online (Poster)

• MICCAI 2021, online (Poster)

• MICCAI 2019, Shenzhen, China (Poster)
• MIDL 2019, London, United Kingdom, (Long Oral presentation)