Since October 2024, I am a CNRS researcher in the APTIKAL team of the Computer Science Laboratory of Grenoble LIG.

From October 2023 to the end of Septembrer 2024, I was a junior fellow in Efelia Côte d’Azur.

From October 2021 to the end of September 2023, I was a Postdoctoral researcher of the 3iA Côte d’Azur at Centre Inria d’Université Côte d’Azur in the Maasai team. I was working on deep semi-supervised learning, with Charles Bouveyron and Pierre-Alexandre Mattei.

My PhD thesis (2018-2021) in Applied Mathematics was supervised by Claire Boyer and Julie Josse at Ecole Polytechnique (CMAP) and University Pierre and Marie Curie (LPSM). See dissertation, slides.

The goal of this PhD thesis was to propose new statistical methods to handle missing values in several supervised and unsupervised machine learning scenarios, particularly when the data can be Missing Not At Random (MNAR), i.e. when the unavailability of values depends on the missing values themselves and values of other variables. We have considered low-rank models (fixed and PPCA), online linear regression using SGD and model-based clustering.

News

• Resource website on missing values: I am still maintaining our platform on missing values R-miss-tastic, do not hesitate to contact me if you have questions or if you want to contribute ! It is an on-going and collaborative project !