Dr. Jurijs Bazilevs holds an M.S. degree in Mechanical Engineering from Rensselaer Polytechnic Institute and a
Ph.D. degree in Computational and Applied Mathematics from the University of Texas at Austin. His research include
Isogeometric Analysis, Computation of Turbulent Fluid Flow, Fluid-Structure Interaction, and Cardiovascular
Applications, and is supervised by Professor Thomas Hughes.
Dr. Yingda Cheng received her Ph.D. in Applied Mathematics
from Brown University in 2007. Her research at ICES involves high-order
numerical methods for partial differential equations, in particular the
semiconductor Boltzmann equations. Her research is performed under the
supervision of Professor Irene M. Gamba.
Dr. Brent Kraczek received his Ph.D. in Physics from the University of Illinois at Urbana-Champaign in 2007. His
research involves developing coupled models of atomistic and continuum systems. At ICES he is working on developing
a means to couple explicit and implicit solvation models for biomolecules, including a means to quantify errors. This
research is supervised by Professors Peter Rossky and Greg Rodin.
Dr. Ethan Kubatko received his Ph.D. in Computational Hydraulics from the University or
Notre Dame in 2006. He works on the development and application of discontinuous Galerkin methods for
shallow water hydrodynamic and transport processes. Applications of interest include modeling tides,
hurricane storm surge, and sediment transport. His research at ICES focuses on hp-adaptive techniques
for such processes and is performed under the supervision of Professor Clint Dawson.
Dr. Lucas Wilcox received his Ph.D. in Applied
Mathematics from Brown University in 2006. His research
interests include the numerical solution of partial
differential equations using high-order methods, uncertainty
modelling and inverse problems. His research is
performed under the supervision of Professor Omar Ghattas. (More)
Dr. Tim Wildey received his Ph.D. in mathematics from Colorado State University in 2007. His research at ICES is under
the supervision of Professor Mary Wheeler and involves non-intrusive stochastic methods and a-posteriori error
estimation for flow in porous media.