University of Texas at Austin
Applied Mathematics Group

Applied Mathematics Group

Applied non-linear analysis, novel numerical methods and state of the arts applications. The Applied Mathematics Group (AMG) is an interdisciplinary research effort involving Mathematics, Statistics, Physics, and Computer Science. The group focuses on modeling of non-linear, coupled systems arising in the physical and biological sciences, engineering, medicine, and the social sciences. Model formulation, interpretation, approximation, and assessment are addressed, as well as issues such as mathematical well-posedness of models, multiple dimensional spatial and temporal scales in diverse geometrical configurations, direct and inverse problems, and accurate and efficient approximation algorithms. Classical and statistical analysis, data science including machine and deep learning methods, and numerical simulations by means of high-performance computing are used. This group interfaces with the activities of the Center of Numerical Analysis.

Website

https://amg.oden.utexas.edu/

Directors

Irene M. Gamba
Irene M. Gamba
Computational Statistical Mechanics Kinetic Theory Computational Physics

Faculty and Research Staff

Todd Arbogast
Todd Arbogast
Numerical Analysis Computational Geosciences Applied Mathematics Partial Differential Equations
William Beckner
William Beckner
Applied Mathematics
Luis A. Caffarelli
Luis A. Caffarelli
Applied Mathematics Partial Differential Equations
Bjorn Engquist
Bjorn Engquist
Numerical Analysis Applied Mathematics
Oscar Gonzalez
Oscar Gonzalez
Computational Mechanics Applied Mathematics Differential Equations
Lauren Meyers
Lauren Meyers
Computational Biology Data Science
Philip J. Morrison
Philip J. Morrison
Computational Statistical Mechanics Computational Physics Computational Mechanics High-Performance Computing
Peter Mueller
Peter Mueller
Uncertainty Quantification Computational Statistical Mechanics Bayesian Methods Simulation techniques
Richard Tsai
Richard Tsai
Machine Learning Numerical Analysis Scientific Computing Partial Differential Equations
Rachel Ward
Rachel Ward
Uncertainty Quantification Optimization Data Science

Students

Staff

Members outside the Oden Institute

William Porteous