Julie Josse

Julie Josse is a senior researcher at Inria, leading the PreMeDICaL team with Inserm. Their work advances precision medicine through causal learning and federated methods that preserve data confidentiality, aiming to accelerate targeted therapies and decision-support tools with quantified uncertainty. Julie’s expertise includes missing data, causal inference, and machine learning on multi-source, multi-modal health data, enhancing decisions in respiratory disease, oncology, and fertility. She led the Traumatrix project, creating AI tools for optimizing ambulance trauma care. Prior to Inria, she was a professor at Ecole Polytechnique (Institut Polytechnique de Paris – IP Paris), directing the Data Science for Business Master’s with HEC Paris. She has also held visiting roles at Stanford University and Google Brain Paris and has been recognized with honors such as the Inria–French Academy of Sciences Young Researchers Prize and a Marie Curie mobility grant.