Team Mathematical Optimization, Stochastic Modelling and Statistics
The research of OptimAl focuses on the development of mathematical tools for the modelling of random systems (inference, data analysis), as well as the resolution and analysis of optimization problems (combinatorial optimization and stochastic control) or performance evaluation (statistics).
Team leader : Boris Detienne
Informations complémentaires
Research Themes
Statistics and Probability
- Multivariate analysis, dimension reduction
- Inferential statistics. Application areas: environment (ecology, climate), reliability
- Design and analysis of stochastic processes for various applications (including branching processes and piecewise deterministic processes)
Operations Research, Mathematical Optimization
- Extended formulations for mixed-integer linear programs: Dantzig-Wolfe, Benders, flow reformulations
- Iterative formulation generation algorithms: column generation, cut generation, branch-and-X
- Multi-stage optimization under uncertainty: robust optimization, stochastic programming
- Operations research: planning and scheduling, packing, vehicle routing, industrial applications
- Theoretical and numerical methods for stochastic optimal control problems, mathematical analysis of asymptotic behaviour and robustness of controlled stochastic systems, game theory
Seminaires réguliers
The Mathematical Optimization, Stochastic Modelling and Statistics seminar (organizers: Ayse Nur Arslan and Frédéric Barraquand) on Thursdays at 11:00 am in room 2.
Thematic networks
ANR Projects
- ADLIB: Aggregation and disaggregation of large-scale flow formulations
- DDROP: Robust optimization with decision-dependent uncertainty sets
- DESIDE: Network design under uncertainty
- DROI: Adjustable robust optimization
- TIDySModels: Towards identifiable dynamic and stochastic models in ecology and beyond
Priority Research Programmes and Equipment
- PowDev, Resilience of energy systems
”Robotic Transfer” Challenge
- Grip4All, Robotic palletization
Industrial partnerships
- Catie, Machine learning and optimization
- EDF, Inria Challenge, Long-term investment planning
- Saint-Gobain, Vehicle routing under uncertainty
- Naval Group, Trajectory optimization
- INRAe-SWDE
- SUEZ
Upcoming Seminars
Probing-Enhanced Stochastic Programming: Theory, Insights, and Algorithms from Newsvendor to Lot-Sizing
Séminaire Optimisation Mathématique Modèle Aléatoire et Statistique
Date : Thursday, May 7, 2026 – 11:00
Speaker : Franco Quezada (Universidad de Santiago de Chile)
Location : Salle 2, IMB
TBA
Séminaire Optimisation Mathématique Modèle Aléatoire et Statistique
Date : Thursday, May 21, 2026 – 11:00
Speaker : Thibault Prunet (IMB/Inria Bordeaux)
Location : Salle 2, IMB
TBA
Séminaire Optimisation Mathématique Modèle Aléatoire et Statistique
Date : Thursday, May 28, 2026 – 11:00
Speaker : Mariam Sangare (Inria Bordeaux/EDF)
Location : Salle 2, IMB
Regular seminars
Team members
Researchers, Lecturers, Emeriti
Doctoral and post-doctoral students
Research support personnel
Associated INRIA projet teams
joint laboratories
Institutional projects and industrials contracts
