Marie Corillon (M.I.J.)

Marie Corillon is a PhD Candidate in Econometrics whose research focuses on high-dimensional and mixed-frequency time series analysis, with particular emphasis on penalized regression methods that address aggregation and sparsity challenges. Her work aims to develop data-driven statistical learning methods specifically designed to improve forecasting in high-dimensional settings, applicable to a wide range of fields.
 

Marie has presented her research at several academic conferences, including the Netherlands Econometric Study Group (NESG) and the 2025 IMS International Conference on Statistics and Data Science (ICSDS).
 

She obtained a BSc in Econometrics and Operations Research at the School of Business and Economics with a minor in Physics at Maastricht Science Programme, and an MSc in Econometrics and Operations Research (Data Science track), both at Maastricht University.

Other activities

• PhD representative