Short bio
PhD in Statistics, Sorbonne Université
Research project
High-dimensional inference in genomic data.
Short abstract
Our goal is to propose new efficient procedures for high-dimensional inference, motivated by applications to high-dimensional genomic data. More specifically, we are interested in identifying regions of the genome associated with a phenotype, through procedures that provide p-values, typically via post-selection inference procedures.