Clint Dawson
John J. McKetta Centennial Energy Chair in Engineering
Director, Computational Hydraulics Group
Oden Institute for Computational Engineering and Sciences
University of Texas at Austin
Austin, TX 78712
clint@oden.utexas.edu
(512) 475-862
Clint Dawson
Clint received his B.S. and M.S. degrees from Texas Tech University in 1982 and 1984, respectively. He received his Ph.D. in Mathematical Sciences from Rice University in 1988. He has been a professor at the University of Texas at Austin since 1995. Dawson’s research focuses on numerical methods for partial differential equations, uncertainty quantification, and high-performance computing for geoscience applications, specifically related to coastal ocean and flow through porous media. He heads the Computational Hydraulics Group in the Oden Institute of Computational Science and Engineering, and is associate chair of the Department of Aerospace Engineering and Engineering Mechanics. Clint has published over 160 journal publications and currently serves as editor-in-chief of Computational Geosciences. His role on this project, together with Kyle Robert Steffen, is to investigate and implement novel mathematical and statistical methods to better parameterize drag at the air-sea interface (and thus momentum transfer from winds to the water column), which is complicated by the presence of sea ice.
Kyle Robert Steffen
Peter O’Donnell, Jr. Postdoctoral Fellow
Institute for Computational Engineering and Sciences
University of Texas at Austin
krsteffen@utexas.edu
(512) 232-7783
ttps://www.ices.utexas.edu/people/1640/
Kyle Robert Steffen
Kyle received his B.S. and Ph.D. in Mathematics from the University of Utah in 2011 and 2018, respectively. In his doctoral research, he focused on designing highly accurate numerical methods for partial differential equations (PDEs) based on Difference Potentials, and on modeling and analysis of sea ice physics. His research interests more broadly include geoscience applications, mathematical and computational modeling, numerical methods for PDEs, scientific computing, and uncertainty quantification. His role on this project, together with Professor Clint Dawson, is to investigate and implement novel mathematical and statistical methods to better parameterize drag at the air-sea interface (and thus momentum transfer from winds to the water column), which is complicated by the presence of sea ice.