professeur des universités, Université Evry-Paris-Saclay
IBISC
Paris Saclay, France
CSO WILLIS https://willis-ec39a4.webflow.io/
I am a Full Professor in Statistical Sciences, with expertise in machine learning, deep learning, signal and image processing, and multimodal data analysis. My research focuses on developing robust, interpretable, and data-efficient AI methods for complex biomedical and industrial applications.
In precision medicine, I work particularly on AI-assisted stroke diagnosis and prognosis, including multimodal MRI analysis, lesion and thrombus segmentation, outcome prediction, representation learning, and the integration of incomplete or heterogeneous patient data. My work also covers generative models, variational autoencoders, self-supervised learning, uncertainty quantification, and explainable AI.
Beyond healthcare, I develop machine learning approaches for industrial inspection, non-destructive testing, fault detection, sensor data analysis, and pattern recognition, including applications to nuclear instrumentation, structural monitoring, and environmental sensing.
Compétence
data sciences for précision medicine
AI researcher with diverse skills in digital engineering and automatic signal and image processing
professeur des universités, Université Evry-Paris-Saclay à IBISC
Paris Saclay, France