Research interests

I work on mathematical, algorithmical, and computational aspects of mathematical optimization. An originality of my research is the application of continuous optimization techniques to discrete optimization problems: check out the overview of my HdR defence slides (in French).

General topics

  • Convex optimization, semidefinite optimization, and combinatorial optimization
  • Nonsmooth optimization: theory and algorithms

Current applications

  • Decomposition methods and stochastic optimization for electricity generation
  • Distributed optimization for machine learning and big data
  • Exact resolution of NP-hard combinatorial optimization problems

Highlight : BiqCrunch 2.0 available !

New release of our software for solving quadratically-constrained BInary Quadratic optimization problems (BIQ). It outperforms state-of-the-art on the hardest combinatorial optimization problems, see more on the BiqCrunch web site. We gave an extended tutorial (15h) on BiqCrunch and semidefinite programming for combinatorial optimization at the summer school JPOC in Paris XIII.

Highlight : workshop Optimization and Statistical Learning, next in March 2019 !

In a ski resort close to Mont Blanc, we welcomed some of the leading researchers at the intersection of optimization and learning, for the third edition of our workshop OSL2017 (see also the websites of the first two editions OSL2015 and OSL2013).

Highlight : Conference SMAI-MODE

Our team organized the 2018 edition of the French Days on Optimization and Decision Science (Journées SMAI-MODE 2018). This edition held, from March 28 to March 30, 2018, in a conference center, in the heart of the Vercors Massif (about one hour from Grenoble). The scientific program was rich with talks and spotlight/posters on optimization, game theory, control, and decision science in general. The social program was also quite good too with snow/nature activities, biathlon, special "mountain" diner, "oberwolfach" lunch, cheese/poster session...