• • • ANR GePhEx research project funded by the French National Research Agency (2019, 36 months) 

Learning causal effects between phenome and exposome from large amounts of heterogeneous data in human complex diseases

• • • IDEX ML-Online, an IDEX Innovative Educational Project funded by the Université de Paris, as part of the Investments of the Future programme (2021, 12 months)

• • SC-EDAE, Spectral Clustering via Ensemble Deep Autoencoder Learning (preprint | GitHub)

  • miic, reconstructing causal, non-causal or mixed networks from your observational data (Bioinformatics 2018) (Web Server | GitHub)

  • 3off2, novel learning method for causal graphical model (BMC Bioinformatics 2016 & UAI 2015)

  • Implementation of a pipeline for genomic comparative  (Cell Rep. 2012)

  • Implementation of a pipeline for protein sequence prediction (Summer school project, OIST)