Chiheb Ben Hammouda

Dr. Chiheb Ben Hammouda is an Assistant Professor at the Mathematical Institute of Utrecht University, specializing in mathematical modeling, numerical analysis, and computational simulation methods. His research intersects stochastic processes, uncertainty quantification, and machine learning, with applications in quantitative finance, computational biology, and renewable energy systems.

• Education: Postdoctoral researcher at RWTH Aachen University, PhD in Applied Mathematics and Computational Science, and Diplomingenieur (Master's equivalent).

His work focuses on developing advanced numerical techniques such as hierarchical adaptive sparse grids, quasi-Monte Carlo methods, and stochastic optimal control for problems in finance and biology. Recent publications highlight applications in option pricing, extreme climate event modeling, and energy systems optimization.

Dr. Hammouda has co-taught courses at RWTH Aachen University on stochastic numerics, machine learning integration in simulations, and partial differential equations. His expertise bridges theoretical mathematics and practical computational solutions across interdisciplinary domains.