Postdoctoral Researcher

Research on mathematical optimization, including the development and analysis of efficient algorithms for smooth, nonsmooth, constrained, and nonconvex optimization problems. Current research also explores optimization methods for inverse problems, PDE-constrained optimization, distributed learning, and federated learning.

Research Intern

Investigated optimization methods for large-scale power-flow problems arising in European electricity transmission networks.

Visiting Researcher — UCLouvain

Collaborated with François Glineur on efficient first-order algorithms for large-scale nonconvex optimization problems.

Visiting Researcher — University of Genoa

Collaborated with Silvia Villa on higher-order optimization algorithms for structured nonconvex optimization problems.

Research Secondment — Toulouse Mathematics Institute

Conducted research on optimization methods for inverse problems and variational inequalities in collaboration with Pierre Maréchal.

Ph.D. in Automatic Control and Systems Engineering

National University of Science and Technology POLITEHNICA Bucharest

Dissertation: Efficient Higher-Order Methods for Composite Problems with Applications

Supervisor: Ion Necoara

Marie Skłodowska-Curie Doctoral Fellow (ESR10) within the European Commission's Horizon 2020 Innovative Training Network TraDE-OPT (Training Data-Driven Optimization).

M.Sc. in Mathematics and Computer Science

Faculty of Science and Technology Settat, Hassan I University

B.Sc. in Mathematics and Computer Science

Faculty of Science Semlalia, Cadi Ayyad University