Machine Learning for High-Dimensional Dynamics
The Otto Lab is part of the Sibley School of Mechanical and Aerospace Engineering at Cornell University. Our research focuses on applied and theoretical aspects of machine learning for high-dimensional dynamical systems such as fluid flows. This includes developing rigorous and practical computational methods leveraging data and physical knowledge to model, analyze, forecast, sense, optimize, and control these systems.