David Cohen

David Cohen is a Professor in the Department of Applied Mathematics and Statistics at Chalmers University of Technology. His academic career centers on the development and analysis of numerical methods for differential equations, with particular expertise in geometric numerical integration techniques.

His research focuses on structure-preserving numerical methods for approximating solutions to deterministic and stochastic dynamical systems. Cohen's work spans geometric numerical integrators, stochastic differential equations, and the numerical analysis of partial differential equations. His approach emphasizes preserving underlying geometric structures in numerical schemes, which is crucial for long-term accuracy and stability in simulations.

The publication record shows consistent research output with a clear trajectory toward increasingly complex stochastic systems. Recent work focuses on splitting integrators, positivity-preserving schemes, and specialized methods for stochastic wave equations, Manakov systems, and Lie-Poisson structures. His research demonstrates strong connections to applications in physics, optics, and mathematical modeling of complex systems.

Cohen leads or participates in multiple research projects funded by Vetenskapsrådet (VR) and the European Commission, including work on stochastic FitzHugh-Nagumo models and numerical methods for PDEs with random dispersion. His collaborative network includes researchers across Europe and North America, reflecting the international nature of his work in computational mathematics.