DrMelodie Monod

I am an Associate Professor in Statistics and Machine Learning at Université Paris Dauphine - PSL. I maintain close collaborations with Imperial College London on Bayesian probabilistic modelling, generative modelling, and infectious disease modelling.

My research lies at the intersection of statistical machine learning and Bayesian deep learning. I focus on advancing traditional Bayesian frameworks by integrating them with modern deep learning techniques, aiming to develop scalable, interpretable, and robust models for complex, real-world data.