Paul Constantine is an assistant professor in the Department of Computer Science at University of Colorado Boulder. He received his PhD from Stanford's Institute for Computational and Mathematical Engineering and was awarded the John von Neumann Postdoctoral Fellowship at Sandia National Labs. His interdisciplinary research interests include parameter reduction and uncertainty quantification for computational science and engineering models. For more information, see www.cs.colorado.edu/~paco3637
keywords
parameter reduction, dimension reduction, active subspaces, uncertainty quantification, scientific machine learning, computational science and engineering, scientific computing, numerical computing
