معرفی
Xavier Dupuis is a Lecturer (Maître de conférences) at the Institut de Mathématiques de Bourgogne, Université de Bourgogne, France. His research focuses on optimization, numerical methods, and machine learning with applications in economics, biology, and medicine.
Education:
- PhD in Applied Mathematics, École Polytechnique (2013)
- Master's degree in Mathematics, École Normale Supérieure de Lyon (2010)
- Agrégation de Mathématiques (2009)
Research Focus: His work spans optimal control theory (finite/infinite dimensions), sparse regularization (SLOPE), and numerical schemes for partial differential equations, with cross-disciplinary applications in biomedical modeling and economics.
Publication Trends: Recent articles (2022-2024) primarily address SLOPE regularization theory and computational methods, while earlier work (2013-2017) established foundations in optimal control theory and variational problems.
Affiliations: Member of the Statistics, Probability, Optimization and Control research team at Institut de Mathématiques de Bourgogne.
