Mouna is an Expert Statistical Methodologist and she provides internal advice for clinical projects across all development phases and therapeutic areas. Her research interests include longitudinal data and dose-finding studies.
Christophe Biernacki (Lille 1 University, France, INRIA)
Christophe is Professor of Statistics, Scientific leader of the Inria modal team. His research focuses on model-based classification and clustering. He is a specialist of dealing with complex data including continuous, categorical/ordinal/rank and interval/missing data. He developped the software MIXMOD for mixture models.
David Haziza is an Associate Professor in the department of mathematics and statistics at Université de Montréal. His research interests include the inference in the presence of missinga data, resampling methods for imputed survey data and robust inference in the presence of influential units.
Olga is Associate Professor and CNRS researcher working on matrix completion problems motivated by applications such as recommender systems and collaborative filtering. She recovers the entries using the low-rank structure of the data estimated by minimizing nuclear-norm penalized types criteria.
Roderick Little (University of Michigan, United States)
Rod is Professor of Biostatistic and is an elected fellow of the American Academy of Arts and Sciences, and an elected member of the Institute of Medicine of the U.S. National Academies. He is the author with Don Rubin of the famous book statistical analysis of missing data.
Patrick is a senior researcher in Technicolor Research & Innovation where he leads exploratory research on computer vision and image analysis. He is currently on the Editorial Board of the International Journal of Computer Vision (IJCV).
Sandrine has a strong expertise in sparse representations, inverse problems and statistical analysis and their applications in astrophysics. Her main interest concerns large scale structure of the universe, weak lensing and model discrimination.
Joseph L. Schafer (Census Bureau, Washington, United States)
Joseph is the Chief for Statistical Computing, Center for Statistical Research and Methodology of the Census Bureau. He is the author of the famous book Analysis of Incomplete Multivariate Data and of the software NORM.
Shaun Seaman (Medical Research Council Biostatistics Unit, UK)
Shaun is particularly interested in the use of multiple imputation and inverse probability weighting for handling cohort and case-control data (including the situation where missing data are due to death). He works in collaboration with epidemiological researchers.
Stef is Professor of Missing Data at the University of Utrecht. He pioneered the chained equation approach that specifies an imputation model for each variable separately. He developed the popular MICE package in R for creating multiple imputations, and recently published the book "Flexible Imputation of Missing Data".
Pierre Vandergheynst (EPFL, Lausanne, Switzerland)
Pierre is Professor and an expert in high-dimensional data processing, compress sensing and image analysis. He's a laureate of the Apple ARTS award and of the 2010-2011 De Boelpaepe prize from the Royal Academy of Sciences of Belgium. He also co-founded two start ups.
Recai is Associate Professor of Biostatistics Department of Epidemiology working a lot on multilevel (or clustered) data with applications in public health research, prevention research. He wrote a Journal of Statistical Software paper on multiple imputation software.