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

News: Missing values taskview &  R-mis-static website are released!
Logistic regression with missing values + R package
-Speaker at sfds2019, 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]   – 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


On going projects:
  • Handling severe trauma patients
  • Causal inference with missing values (with S Hamada, Stefan Wager)
  • Low-rank estimation with MNAR data (with Claire Boyer)
  • Random Forests with missing values (with Erwan Scornet, Gael Varoquaux)
  • Variable selection with adaptive slope (with Gosia Bogdan)
  • Students & group’s meeting

Associate Editor: Journal of Computational & Graphical Statistics.
An overview of my research can be found in my Habilitation.  (slides)

YearAuthors Title link
Sportisse, A., Boyer, C. and Josse, J. Low-rank estimation with missing non at random data.
2018Hamada, S et al.Effect of Fibrinogen administration on early mortality in traumatic haemorrhagic shock: a propensity score analysis
2018Jiang, W., Lavielle, M. Josse, J. and T. Gauss.Stochastic approximation EM for logistic regression with missing values. Submittedpdf
Packages, code
2018Josse, J., Husson, F. Robin, G. and Balasubramanian. N.Imputation of mixed data with multilevel SVD. In revision in JCGS
2018Robin, G, Sardy, S., Moulines, E. and Josse, J. Low-rank model with covariates for count data
with missing values. Submitted
2018G. Robin, O. Klopp, J. Josse, E. Moulines, and R. Tibshirani Main effects and interactions in mixed and incomplete data frames. Submitted
2018 G. Robin, Hoi To Wai, J. Josse, O. Klopp and E. MoulinesLow-rank interactions and sparse additive effects model for large data frames (to appear at NIPS 2018)
2018Seijo-Pardo, B., Alonso-Betanzos, A., P. Bennett, K. Bol\'on-Canedo, Josse, J., Saeed, M., Guyon, I. Feature selection in the presence of missing data. Neurocomputing, ESANN.
2017-2018Mozharovskyi, P., Husson, F. and Josse, J.Nonparametric imputation by data depth.
Journal of the American Statistical Association.
2017Holmes, S and Josse, J.50 years of data-sciences, discussion.
Journal of Computational and Graphical Statistics JCGS.
2017Bollmann, S., Cook, Di. Dumas, J., Fox, J., Josse, J., Keyes, O. Strobl, C., Turner, H. and Debelak, R.A First Survey on the Diversity of the R Community.
R journal.
2017G. Celeux, J. Jewson, J. Josse, J.M. Marin and C. P. Robert.Some discussions on the Read Paper "Beyond subjective and objective in statistics" by A. Gelman and C. Hennig.

2017-2018Josse, J. and Reiter, J.P.Introduction to the Special Section on Missing
Statistical Science
2017Foulley, JL, Celeux, G and Josse, J.Empirical Bayes approaches to PageRank type
algorithms for rating scientific journals.
Technical report.
2016Sobczyk, P, Bogdan, M. and Josse, J.PCA using penalized semi-integrated likelihood.
Journal of Computational and Graphical Statistics JCGS.
2016Fithian, W. and Josse, J.Multiple Correspondence Analysis & the Multilogit Bilinear Model.
Journal of Multivariate Analysis.
2016Husson, F., Josse, J. and Saporta, G.Jan de Leeuw and the French school of data analysis.
Journal of Statistical Software.
2016-2017Josse, J., Sardy, S. and Wager, S.denoiseR: a package for low rank matrix estimation.
Journal of Statistical Software
2016Groenen, P. and Josse, J.
Multinomial Multiple Correspondence Analysis. pdf
2016Fujii, H., Josse, J., Tanioka, M., Miyachi, Y. Husson, F., and Ono, M.Regulatory T cells in melanoma revisited by a computational clustering of FOXP3+ T cell subpopulations.
Journal of Immunology.
2015Audigier, V., Husson, F. and Josse, J.MIMCA: Multiple imputation for categorical variables with multiple correspondence analysis.
Statistics and Computing.
2015-2016Josse, J and Wager, S.Regularization for Low-Rank Matrix Estimation.
Journal of Machine Learning research.
2015Josse, J. and Sardy, S.Adaptive Shrinkage of singular values.
Statistics and Computing.
2015Josse, J and Husson, F.
missMDA a package to handle missing values in and with multivariate data analysis methods.
Journal of Statistical Software.
2015 Audigier, V., Husson, F. and Josse, J.Multiple Imputation with Bayesian PCA. 
Journal of Statistical Computation and Simulation.
2015-2016Josse, J. and Holmes, S.Measuring multivariate association.
Statistics Survey.
2014Audigier, V., Husson, F. and Josse, J.A principal components method to impute mixed data. 
Advances in Data analysis and Classification. 
2014Josse, J., Wager, S. and Husson, F.

Confidence areas for fixed-effects PCA. 
Journal of Computational and Graphical Statistics.
2014Dray, S and Josse, J.Principal component analysis with missing values: a comparative survey of methods.
Plant Ecology. 
2014Josse, J.,  van Eeuwijk, F., Piepho, H-P and Denis, J.B.Another look at Bayesian analysis of AMMI models for genotype-environment data. 
Journal of Agricultural, Biological, and Environmental Statistics.
2013Verbanck, M., Josse, J. and Husson, F.Regularized PCA to denoise and visualise data. 
Statistics and Computing.  
2013Josse, J., Timmerman, M.E. and Kiers, H.A.L.
Missing values in multi-level simultaneous component analysis.
Chemometrics and Intelligent Laboratory Systems.
2013Husson, F. and Josse, J.Handling missing values in Multiple Factor Analysis.
Food Quality and Preferences.
2013Josse, J and Husson, F.Handling missing values in exploratory multivariate data analysis methods.
Journal de la SFdS. Paper written for the best Ph.D doctoral thesis prize delivered by the French Statistical Society.
2012Josse, J., Chavent, M., Liquet, B. and Husson, F.
Regularized Iterative Multiple Correspondence Analysis.
Journal of Classification.
2011Josse, J and Husson, F.Selecting the number of components in PCA using cross-validation approximations.
Computational Statistics and Data Analysis.
2011Josse, J., Husson, F. and Pagès, J.Multiple imputation in PCA.
Advances in data analysis and classification.
2010Josse, J., Husson, F. and Pagès, J.Principal component methods - hierarchical clustering - partitional clustering: why would we need to choose for visualizing data?
Technical report.
2009Josse, J., Husson, F. and Pagès, J.Analyse en Composantes Principales.
Journal de la SFdS.
2008Josse, J., Husson, F. and Pagès, J.Testing the significance of the RV coefficient.
Computational Statistics and Data Analysis.
2008Lê S., Josse, J. and Husson, F.FactoMineR: an R package for multivariate analysis.
Journal of Statistical Software.


Selected Talks:
MultiLogit bilinear model & MCA
Bootstrap approach for low rank estimation
A missing values tour with principal components
Visualization with regularized PCA and confidence ellipses
Exploratory data analysis: multi­-blocks/3ways methods
Multiple imputation for categorical data
Imputation of mixed data: Random forest/PCA

All the talks:

YearTitle EventSlides/Video
2018Distributed multilevel matrix completion for medical dataFrance-Finland Worshop, Washington University Seminarpdf
2017Stochastic Approximation EM for logistic regression with missing valuesCMStat, London, 17 Decemberpdf
2017Single Imputation with data depthCMStat, London, 17 Decemberpdf
2017 R forwards to widen the participation of under-represented groupsuseR!2017, 7 Julyvideo
2017Empirical Bayes approaches to PageRank type algorithms for rating scienti fic journals French Stat Society, 29 Maypdf
2017Low-rank log-linear models. Vienna, University of economics and business, 16 March
Telecom, Paris, 23 March.
2016 Meetup Machine Learning, Paris, France, 10 February
2016 Imputation with data depth - Pavlo Mozharovskyi French Stat Society, Montpellier, France, May pdf
2016MultiLogit bilinear model & MCA Working group on model based clustering, Paris, France, 22 July
AgroPariTech, Paris, France, 13 June
2015Missing values and principal components methods INRIA, Orsay, France, 12 October
Tesla Motor, Palo Alto, USA, 14 August
2015Multiple imputation for categorical data Conference CARME (correspondence analysis & related methods), Napoli, Italy, 21 September
Journée de Statistiques, Rennes, France, 23 october
20152015 A flexible framework for regularized low rank matrix estimationLos Alamos, USA, 15 February
Rotterdam University , Netherlands, 30 January
Adobe Research , San Jose, USA, 20 January
2015 Visualization with regularized PCA Stanford Biostatistics, Palo Alto, USA, 15 January
2014A flexible framework for regularized low rank matrix estimation Montpellier 2 University, France, 20 October
Paris Descartes University, France, 24 October
Wroclaw University, Poland, 31 October


Software – R community

I am involved in the R software community and I am sincerely glad to have been elected as a member of the R Foundation for Statistical Computing. Please if R is helping you, help us by supporting with donation

Development of packages:
FactoMineR: visualization with principal components methods
missMDA: missing values (imputation continuous, categorical data) – matrix completion
denoiseR: low rank matrix estimation with regularized SVD and bootstrap

I  served as an associate editor of Journal of Statistical Software (2011-2017) and I am involved in Rforwards to leading the R community forwards in widening the participation of women and other under-represented group.
With M. Chavent, S. Dray, R. Genuer, F.Husson, B. Liquet, J. Sarracco, we created the « French R board group » to support the organization of Les Rencontres R.

News: Video presentation of Rforwards. Blog posts and multivariate studies of the R community.
Support R with the R consortium.


As a French professor, I teach around 160 hours/year (lectures, computer labs mainly with the R software) and I supervise master students projects and their internship in industry. Learn more …In addition, I give tutorials in different instituts and in conferences:

2016-2017Missing values imputationuseR!2016, Stanford
Gdr Ecology stat, Lyon
INRIA, saclay
Ozone data
2015Handling missing values with a special focus on the use of principal component methods. (3h).useR! 2015, the R useR conference, Aalborg, Denmark
2014Lecture on dealing with missing values. (3h)Stanford University, CA, USA[slides] [ozone data]
[ecological data]
2011Panorama sur les méthodes d'analyse exploratoire des données. (3h)Journées de l'Ecole Doctorale Pierre Louis de Santé Publique : Epidémiologie et Sciences de l'Information Biomédicale. St Malo, France[slides, data]


Her first employment was in the statistics departement of an Agronomy University (Agrocampus Ouest) where she was trained to « the French data analysis school » and had the opportunity to work closely with researchers from other departments and increases her interest in transversal studies. In the meantime, she prepared her PhD which was rewarded by the French Statistical Society as the best PhD in applied statistics. She has specialized in missing data, visualization and the nonparametric analyses of complex data structures. Her work was rewarded by a European Union grant in 2013 to increase her research potential and to spend a year at Stanford University. She spent a year as a researcher in INRIA before joining Polytechnique in 2016. At Polytechnique, she is actually responsible of a master data-sciences for business in collaboration with HEC. She has published over 30 articles and written 2 books in applied statistics. Her experience on dealing with incomplete data is recognized by the community: she organized the MissData conference on missing value in 2015 and she is often invited to give lectures to share her experience. Her vocation is to push methodological innovation to bring useful application of her research to the user in particular in bio-sciences and health. Julie Josse is dedicated to reproducible research with the R statistical software: she has developed packages including FactoMineR, denoiseR, missMDA to transfer her work, she is a member of the R foundation and of Rforwards to increase the participation of minorities in the community.

Perso: I grew up in Africa and French Polynesia. Then I arrived in Brittany a magnificent French region and I had the chance to discover Paris. I am passionate about statistics but also about travelling (often on horseback) around the world. I am also fascinated by nature and science (fan of I have a particular interest in humanitarian issues and my long-term goal is to use more of my skills for these purposes.


– SFdS French Statistical Society – Interested in data sciences? Join-us!!
– Some references on data analysis, data sciences.
– These days I am a fan of Roger Peng’s activities and  Brian Caffo youtube channel.  
– and Support  eR-Biostat to make material available and help some countries.

Conferences organization head:
– The first MissData on missing values and matrix completion, June 2015.
– Correspondence analysis related methods CARME 2011. Videos. Let the data speak…. data analysis
– The R conference useR! 2009