Tenured Research Associate (Chargé de Recherche) at Inria Lille
About
I am a tenured research associate (Chargé de Recherche) at the Inria centre at the University of Lille, in the INOCS team. My research focuses on stochastic and mixed-integer programming, in both their theoretical and computational aspects. I increasingly work at their interface with data science. The question behind most of my work is how to keep large, data-driven optimization models tractable without losing optimality guarantees. I take inspiration from industrial planning and scheduling problems, especially in energy systems. I am open to collaborations on any topic at this interface, including machine learning approaches.
I studied Mathematical Engineering at UCLouvain, where I received my Master’s degree in 2019. I then received my PhD from Universität Trier, supervised by Prof. Martin Schmidt, and was a postdoctoral researcher in the SCALE AI Chair in Data-Driven Supply Chains at Polytechnique Montréal, with Prof. Thibaut Vidal.
News
Our preprint A Hierarchy of Polyhedral Outer Approximations from Branch-and-Bound Trees has been reworked. Using only the branching decisions of a branch-and-bound tree and one dual bound per node, it builds three polyhedral outer approximations of the feasible region that form a hierarchy.
Our preprint Explaining First-Stage Decisions of Two-Stage Stochastic Programs: Modeling, Reformulations and Solution Methods is online. It is the first paper of Adrien Belfer, a PhD student I co-supervise with Luce Brotcorne.
I gave a talk at the Discrete Optimization Talks on relaxation strengthening for chance-constrained stochastic programs. The recording and the slides are online.
I started as CRCN (tenured research associate) at Inria centre at the University of Lille.
I recently presented at the research seminar of the Mathematical Informatics 5th Lab at the University of Tokyo.
Contact
mmmroland@gmail.com
Office B115, Inria Building B, 6 Rue Heloïse, 59650 Villeneuve-d'Ascq, France