Mathilde Borrot

Ai Engineer (Medical Imaging) @Qynapse

Ville de Paris, FR

Design and implementation of advanced algorithms for medical image processing, focusing on central nervous system diseases- Development and validation of methods for extracting quantitative imaging biomarkers using structural and functional imaging modalities- Integration of machine learning and deep learning techniques into image analysis pipelines for automated detection, segmentation, and classification of disease-related features- Support clinical trials by developing image-based endpoints and assessing treatment efficacy and disease progression- Containerization and deployment of image processing algorithms on cloud infrastructure, collaboration with DevOps for seamless integration and performance monitoring- Resolution of issues related to image processing algorithms and software modules, ensuring platform stability and reliability- Development of end-to-end testing methodologies and unit tests to ensure pipeline accuracy and code robustness- Collaboration with radiologists, neurologists, software engineers, and data scientists to integrate imaging algorithms- Contribution to research and innovation in medical imaging, producing scientific material and publications for conferences and journals. Development product concepts and prototypes based on research findings- Creation of product specifications and requirements documents in collaboration with Product and QARA teams.

Hanoi University of Science and Technology

Biomedical/Medical Engineering

CPGE Joffre

Mathematics

ESPCI Paris - PSL

Master 2 (M2)

École des Mines de Saint-Étienne

Diplôme Ingénieur Civil des Mines