I work in combinatorial optimization, complexity theory and graph theory domains with an emphasis on probabilistic combinatorial optimization and approximation algorithms.
My doctoral studies are part of the European project "Marie Sklodowska-Curie Research and Innovation Staff Exchange (RISE)", between Europe and Australia named "Geospatial based Environment for Optimisation Systems Adressing Fire Emergencies", GEO-SAFE, aiming at proposing innovative methods to deal effectively with problems related to wildfires. To this end, it will be necessary to develop tools integrating a decision support system optimizing resources in dynamic environments. A main objective is to study probabilistic, stochastic and robust combinatorial optimization methods to assist in the prevention and mitigation phases of forest fire management by proposing to improve infrastructures to make them less vulnerable to the various future events considered.
Before that, I finished a computer science and engineering diploma at Université de Technologie de Compiègne and a Master of Research's program 'Modeling, Optimization, Decision, Organization' at Université Paris-Dauphine.