Currently I am an associate professor at CentraleSupélec within the Logimics team of the MICS lab Research. My research fields are machine learning and statistics. Until january, 2019 I was a postdoctoral researcher in Machine Learning (and Statistics) at the University of Grenoble within the AMA team of the LIG lab Research. I worked with Eric Gaussier, Marianne Clausel and Emilie Devijver in a partnership with Total. The research goal was to learn a model allowing predict the welding quality and including heterogeneous input and output variables with uncertain measures. Preliminary work on a real data base (provided by Total) encouraged us to focus our research direction on ensemble methods. Then, we have developed and implemented ensemble methods with quadratic and quantile regression which, during the learning task, takes into account distributions of each quantitative observation from the dataset.
Before that I did a PhD in EM simultaneous estimation of a structural equation modeling and its latent factors at the University of Montpellier. Currently, I work on some perspectives of this work with Vincent Brault and Emilie Devijver. We develop a supplementary step of this approach algorithm. The goal is to catch the different explanatory blocks of variables in an unsupervised way. I am also working on the publication of this EM approach as an R package.
I am also interested in causality how validate structural links between variables to overpass correlation links.
- Chair in session ATLAS.
- Participation to the meeting for the SSFAM creation then integration of the SSFAM members.
Welding Institute and Serimax, Roissy Charles de Gaulle.
Visit of both the Welding Institute and Serimax R&D center. Meeting with Serimax on welding data.