I am currently a researcher at Inria, within the SIERRA team (led by Francis Bach). I was a postdoctoral researcher in the same team in 2017-2019. Prior to that, I was at Université Catholique de Louvain, in the department of mathematical engineering (part of the ICTEAM institute), where I was holding a F.R.S.-FNRS FRIA scholarship for my PhD under the supervision of François Glineur and Julien Hendrickx.
Broad research interests; current focus on theory and algorithms for convex optimization and monotone inclusion problems.
Thesis - My thesis (under the supervision of François Glineur and Julien Hendrickx) had the chance to be awarded the ICTEAM thesis award for 2018, the IBM-FNRS innovation award for 2018, and to be a finalist for the AW Tucker prize for 2018. In addition, we received a 2017 best paper award in Optimization Letters, for a joint work with Etienne de Klerk and François Glineur (for this paper).
Software - The current version of the Performance EStimation TOolbox (PESTO) is available from here (full manual here). The numerical worst-case analyses from PEP can now be performed just by writting the algorithms just as you would implement them. This work will be presented at CDC2017 in Melbourne; the proceeding offers a nice introduction to the topic of automated worst-case analyses using performance estimation problems.
Tutorial - If you want to get familiar with performance estimation problems, you might be interested in checking this blog post. The performance estimation toolbox (github) is probably also a good way to try the approach without spending too much time in the details, and the user guide provides the list of examples that are contained within the toolbox.