Irene M. Gamba is professor of mathematics and leader of the ICES Applied Mathematics Group. She holds the W.A. “Tex” Moncrief, Jr. Chair in Computational Engineering and Sciences III.
She earned her Ph.D. in mathematics at the University of Chicago in 1989 and held a National Science Foundation (NSF) postdoctoral fellowship at the Courant Institute at New York University, where she later became assistant and associate professor before coming to The University of Texas at Austin in 1997.
She is an active member of the Society for Industrial and Applied Mathematics (SIAM), the SIAM Activity Group on the Analysis of Partial Differential Equations (SIAG/APDE), the American Mathematical Society (AMS), the Association for Women in Mathematics, and the American Statistical Association. She was an AMS elected board member-at-large from 2002 to 2005 and elected chair and program officer for SIAG/APDE from 2007 to 2011.
She has authored more that 70 publications, serves on the editorial board of three scientific journals, and her work has been funded by NSF, the U.S. Department of Energy, and TARP programs. In the last few years she has held invited positions at the Ecole Normale Superiere, Paris; The University of Kyoto, The University of Paul Sabatier at Toulouse and The University of Nice at France.
She has delivered an AMS invited address at a regional meeting, the Matheon Distinguished Lecture at WIAS Berlin and received the XV David Alcaraz Spinola Lecture Award, Universidad Autonoma de Mexico, and the 2009 ICES Grand Challenge Award.
Her research interests are currently in mathematical physics and applied mathematics. In particular, nonlinear analysis and numerical methods for charged particle transport modeling at quantum, kinetic and fluid levels, mesoscopic and macroscopic approximations in fluid dynamics, Boltzmann type equations and nonlinear PDE theory, development of deterministic numerical schemes (WENO vs. discontinuous Galerkin, constrained spectral methods) to transients for nonlinear Boltzmann type problems, applications to non-equilibrium statistical flows ranging from gas dynamics, granular flows to transient and hot-carrier phenomena for kinetics of semiconductor device and solar cell modeling and simulation, as well emerging complex phenomena in multi-linear social interacting systems.