The SCALE Group

The Scalable Computing and Learning at Exascale (SCALE) group works at the interface of scientific computing and machine learning, developing reliable and scalable computing-and-learning technologies for science and engineering at exascale. Our research combines optimization, numerical analysis, and machine learning to enable efficient large-scale training and reliable ML-augmented numerical simulations.

If you share our research interests and would like to work with us, feel free to get in touch!