Probability and Statistics for ComputationCornell Course

David S. Bindel is a Professor of Computer Science and Director of the Center for Applied Math. Professor Bindel works at the interface of computational science and engineering, and his research mixes mathematical analysis, application modeling, and software design. His active research areas include optimizing stellarators, verified numerics, kernel methods, parallel surrogate optimization, spectral network analysis, nonlinear eigenvalue bounds, and nonlinear waves in resonant MEMS.

Professor Bindel received his Ph.D. in Computer Science from the University of California, Berkeley, and his B.S. in Math and Computer Science from the University of Maryland, College Park. He is a SIAM Fellow and Sloan Fellow.

Anil Damle is an Associate Professor of Computer Science. Professor Damle’s research focuses on the development and analysis of robust and efficient algorithms in applied and computational mathematics that exploit structure coming from underlying physical or statistical models. He interfaces with a broad range of application areas and his work is inherently interdisciplinary, with the ultimate goal of developing algorithms that are usable for practitioners.

Professor Damle received his Ph.D. from Stanford University in Computational and Mathematical Engineering and his M.A. in Applied Mathematics and B.S. in applied mathematics and computer engineering from the University of Colorado, Boulder.