Powering data-intensive scientific discovery.
Cornell researchers develop advanced numerical algorithms that form the backbone of modern scientific computing. Focusing on the "Large N" challenges of data-intensive computation, researchers create more efficient and reliable methods in numerical linear algebra, optimization algorithms, and partial differential equations. These innovations enable scientists and engineers to build more accurate models, run larger simulations, and analyze massive datasets across diverse fields, from climate modeling to molecular dynamics.
Faculty studying scientific computing.
David Bindel
Office:
Computing and Information Science Building 487
Phone:(607) 255-5395
Carla Gomes
Ronald C. and Antonia V. Nielsen Professor of Computing and Information Science
gomes at cs.cornell.edu
Carla Gomes
Office:
Computing and Information Science Building 483
Phone:(607) 255-9189
Alex Townsend
