Margaux Delporte

Margaux Delporte is a postdoctoral fellow at Weill Cornell Medicine, focusing on developing novel methods for selecting key features from a large pool of potential variables, while controlling the false discovery rate. Additionally, she leverages omics data and health outcomes to understand biological predictors of breast cancer risk and survival. She earned her PhD in Biostatistics from KU Leuven, with a thesis focused on longitudinal data analysis: “A Joint Model for Longitudinal Outcomes and Longitudinal Covariates”.