Claudia Drygala is a postdoctoral researcher at the Chair of Mathematical Models for Industrial Life Cycles at TU Berlin. She studied Mathematics at the University of Wuppertal, where she obtained her bachelor’s and master’s degrees. In July 2026, she completed her PhD in Mathematics with distinction under the supervision of Prof. Hanno Gottschalk, with her dissertation entitled “Generative Modeling for Ergodic Systems”.

Her research lies at the intersection of applied mathematics, machine learning, engineering, and physics. She is particularly interested in the mathematical foundations of generative learning methods, including Generative Adversarial Networks (GANs), and their connections to ergodic theory, optimal transport, and statistical learning. A central focus of her work is the development and analysis of data-driven approaches for modeling complex dynamical systems, particularly chaotic systems and turbulent flows. By combining theoretical investigations with numerical applications, she aims to better understand how generative models can reproduce the statistical properties of such systems and serve as efficient surrogates for computationally demanding simulations.

She enjoys interdisciplinary collaboration and is motivated by the challenge of connecting mathematical theory with practical applications in science and engineering.