Prof. Shoemaker's research focuses on finding cost-effective, robust solutions for environmental problems by using optimization, modeling and statistical analyses. This includes development of general purpose, numerically efficient nonlinear and global optimization algorithms utilizing high perfo...
Prof. Shoemaker's research focuses on finding cost-effective, robust solutions for environmental problems by using optimization, modeling and statistical analyses. This includes development of general purpose, numerically efficient nonlinear and global optimization algorithms utilizing high performance computing and applications to data from complex, nonlinear environmental systems. Her applications areas include physical and biological groundwater remediation, pesticide management, ecology, carbon sequestration, and surface water pollutant transport in large watersheds. This analysis has resulted in improved policies for environmental remediation and protection.