
Bren Professor of Computing and Mathematical Sciences at Caltech
A researcher connecting machine learning with scientific computing through neural operators, weather forecasting, and models of physical systems.
Anima Anandkumar is the Bren Professor of Computing and Mathematical Sciences at the California Institute of Technology. She studied at the Indian Institute of Technology Madras and earned her doctorate at Cornell University. Her career includes academic research and senior research roles at Amazon Web Services and NVIDIA.
Anandkumar’s work includes tensor methods, probabilistic latent-variable models, and neural operators. Neural operators learn mappings between functions and can approximate behavior governed by physical processes. This research has supported applications where scientists need fast models of complex systems rather than only classifications of individual examples.
She contributed to FourCastNet, a data-driven global weather-forecasting model based on Fourier neural methods. Her broader research applies AI to scientific modeling and discovery, including problems in fluid dynamics and other physical domains. Her profile connects mathematical methods with scientific applications, emphasizing that useful AI for science must represent the structure of the problem and be evaluated against the phenomena it is intended to model.
Contributed methods for learning mappings that model multiscale physical phenomena.
Co-authored a global weather-forecasting model using Fourier neural methods.