Mélodie Monod

I am a Senior AI Fellow at Université Paris Dauphine - PSL. I maintain close collaborations with the University of Oxford on generative modelling. I am affiliate with the Big Data Institute and the Department of Statistics.

My research focuses on advancing deep probabilistic generative modeling with an emphasis on statistical foundations and real-world predictive inference. I work with conditional denoising diffusion models to develop flexible and scalable generative frameworks. These models enable the synthesis of complex high-dimensional data distributions and support downstream tasks such as counterfactual reasoning and structured prediction. A key application of this work lies in medical imaging for the Oxford–Novartis Collaboration for AI in Medicine.