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, SFdS, useR!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