Jin-Song von Storch is an internationally recognized Computational Neuroscience known for her contributions to understanding climate variability, predictability, and the dynamics of the coupled ocean–atmosphere system. Her research focuses on ocean energetics, internal waves, mesoscale eddies, and their role in large-scale circulation and climate sensitivity. She has made influential advances in stochastic climate theory, equilibrium fluctuations, and the statistical interpretation of climate variability. A key aspect of her work is the use of high-resolution and eddy-resolving Earth system models to investigate air–sea interactions and oceanic energy pathways. Her research has significantly improved the representation of ocean processes in climate models and informed international modeling efforts. Through a strong combination of theory, numerical modeling, and statistical analysis, her work bridges fundamental climate physics and applied climate prediction. She has authored a substantial body of highly cited publications across leading journals in climate science and physical oceanography. In addition to her scientific contributions, she has played an important leadership role in large collaborative research initiatives. She is also recognized for mentoring early-career researchers and shaping research directions in climate dynamics.