Gwenn Guichaoua


I am a second-year PhD student at the Center for Computational Biology (CBIO), which is a joint research unit involving Mines ParisPSL, Institut Curie and INSERM.

My thesis is co-supervised by a multidisciplinary team of bioinformaticians: Véronique Stoven and Chloé Azencott (CBIO-Mines Paris PSL/U900), a statistician: Olivier Collier (ModalX - Paris Nanterre University) and a biologist: Clara Nahmias (Gustave Roussy Institute). My thesis is funded by by the Île-de-France Region as part of the DIM AI4IDF.

My research project is on the “Development of machine learning approaches for the identification of a molecular signature for ATIP3-deficient triple-negative breast cancers (TNBC), and new therapeutic targets and drugs”.