Sept 2016, I am a professor of Statistics at Ecole Polytechnique (CMAP) and XPOP INRIA team.

News: – Paper Supervised learning with missing values Talk slides
Talk: causal inference with missing values
– Projet TraumaMatrix funded by Capgemini  Data4Good
Missing values taskview &  R-mis-static website are released! (Contribute!)
Logistic regression with missing  + R package
– Speaker at  uRos2019, statlearn, SFdSuseR!2019.
– Book R pour les statistiques et la science des données 

Past news: Blog posts: Multiple imputations;  Can we believe in the  imputation?

julie.josse[at]polytechnique.edu   – Office, 136,  INRIA Turing

My main research fields are: missing values, causal inference, visualization with dimensionality reduction (PCA, correspondence analysis), multi­-blocks data, low rank matrix estimation, questionnaire analyses; main application with health data Detailed CV