Physics & Computer Science
Artificial Intelligence Group
+33 6 70 15 40 58
Marie was born and raised in France where she completed her high school studies before attending McGill University in Canada. She is currently completing the last semester of her B.Sc. degree with a double Major in Physics and Computer Science and a Minor in Mathematics. She joined the Enger Lab in 2020.
Radiation Detector following the Transfer of Radioactivity in Automated Radionuclide Syntesis for PET Scans
Marie’s first project in the Enger Lab was to develop a small and cost efficient detector that could be used to monitor the transfer of radioactivity in the automated production of radionuclides used in Positron Emission Tomography scans.
Prediction of Radiation Induced Toxicity in High Dose Rate Brachytherapy Treatment of Breast Cancer
The aim of Marie’s current project is to develop a deep learning-based algorithm that can predict recurrence and potential long-term side effects based on a variety of patient-specific parameters for breast cancer patients treated with high dose rate brachytherapy.
McMedHacks – Medical Image Analysis and Deep Learning in Python
Marie is the co-director of the McMedHacks Hackathon. McMedHacks is an 8-week educational program about medical image analysis and deep learning in Python. McMedHacks consists of presentations from leaders in industry and academia, workshops from researchers in deep learning-based medical image analysis, and a hackathon. McMedHacks 2021 has 365 registered participants from 38 countries ranging from undergraduates to PhDs and MDs. The growing McMedHacks team consists of students from Enger Lab as well as collaborators from around the world with more than 30 members.