About me

I am a postdoctoral researcher within the Inria Disco team, working closely with the EDF R&D teams as part of the joint Inria-EDF challenge. My work focuses on designing large-scale optimization methods for managing power systems.

Prior to that, I obtained a Ph.D. from ENS, where I was part of the Inria Sierra team, and was supervised by Alexandre d’Aspremont.

Previously, I spent a year in the machine learning lab at the University of British Columbia, where I was advised by Mark Schmidt.

I obtained my Bachelors degree in mathematics and computer science at McGill University in 2018. During my final year, I was supervised by Tim Hoheisel. We mostly worked on various versions of the Fermat-Weber location problem.