I am a PhD candidate in applied mathematics at CERMICS, École des Ponts, under the supervision of Vincent Leclère and Wim van Ackooij (EDF R&D).

My research focuses on decomposition methods for stochastic, robust and distributionally robust optimization, particularly for mixed-integer problems arising in power systems. I work on strengthening Benders and SDDP cuts, infinite-horizon SDDP methods, and Lagrangian reformulations for robust optimization with mixed-integer recourse.

Before that, I graduated from École polytechnique (X2020, ranked 10th out of 425 students) and earned master’s degrees in Optimization and Data Science at ENSTA Paris and in Operations Research at the Conservatoire National des Arts et Métiers (MPRO).

News

• Forthcoming in 2027 — Distributionally Robust Unit Commitment Models: Theory and Numerical Results, Electric Power Systems Research, vol. 263, 113754. DOI
• Published in 2026 — Stronger cuts for Benders’ decomposition for stochastic Unit Commitment Problems based on interval variables, Mathematical Programming Computation. DOI
• Accepted for publication — A mixed-integer linear programming model for the electric bus assignment problem with parking constraints, Public Transport.

Teaching

I am a teaching assistant at École des Ponts, where I lead exercise sessions for:

• Introduction to Optimization — first-year engineering students
• Convex Optimization — second-year engineering students

Awards

• ROADEF Master’s Thesis Award (2023 edition): second prize, awarded in 2024