Annika Lang

Annika Lang is a Professor in the Department of Applied Mathematics and Statistics at Chalmers University of Technology's School of Mathematical Sciences. She serves as head of her department/unit and is responsible for all PhD students, postdocs, researchers, and guest teachers.

Her research focuses on numerical analysis of stochastic partial differential equations and the regularity and simulation of random fields. Her work bridges theoretical mathematics with practical applications in areas such as traffic modeling, quantum computing applications, and ice sheet modeling. Lang has made significant contributions to the development of numerical methods for stochastic PDEs on manifolds, particularly on spherical domains.

Lang's recent publications (2022-2025) demonstrate a consistent focus on advancing computational methods for stochastic processes. Her work spans theoretical developments in regularity analysis of random fields, numerical approximation techniques like finite element methods and Galerkin-Chebyshev approximations, and practical applications in traffic management and environmental modeling. A notable trend is her increasing interdisciplinary work connecting stochastic mathematics with transportation engineering and physics-aware machine learning.

• Principal investigator for the European Commission-funded project 'Time-Evolving Stochastic Manifolds (StochMan)' (2023-2028)
• Co-investigator on the Swedish Research Council project 'Efficient approximation methods for random fields on manifolds' (2021-2024)
• Collaborator on multiple projects including 'Quantum computing for future mobility solutions' and 'STOchastic Traffic NEtworks (STONE)'

Lang leads a research group that bridges pure mathematical theory with computational applications, supervising PhD students and postdoctoral researchers in developing novel numerical methods for stochastic processes. Her work has received funding from major sources including the European Commission, Swedish Research Council, and Chalmers University.