About me

I am a CNRS research director at the Paris Brain Institute, co-head of the ARAMIS Lab and a fellow of the Paris Artificial Intelligence Research Institute (PRAIRIE). I completed my PhD in 2016 at University College London in the Centre for Medical Image Computing and obtained my Habilitation (HDR) from Sorbonne Université in 2022. In 2019, I received the ERCIM Cor Baayen Young Researcher Award. I am associate editor-in-chief of the journal Pattern Recognition, I was general co-chair of MIDL 2024 and I am programme co-chair of IPMI 2027.

My research focuses on the processing and analysis of medical images, on the use of images to guide diagnosis, and on the application of these methods to the clinic. In particular, I have contributed to: i) anomaly detection using deep generative models and traditional image processing techniques, ii) the translation of machine learning approaches for quality control and computer-aided diagnosis into clinical practice through hospital data warehouses, iii) reproducible medical image analysis pipelines and the rigorous benchmarking of machine learning methods, and iv) the development of open-source software.

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