My expertise is in variational analysis, optimization, statistics and data visualization.

Variational analysis and optimization
I have studied the variational behavior of spectral functions, which arise in eigenvalue optimization problems. Examples of spectral functions are the spectral abscissa (largest real part of an eigenvalue) and spectral radius (largest eigenvalue in modulus), which are tied to the asymptotic behavior of dynamical systems.

Statistics and data visualization
My work in statistics and data visualization began with my involvement in a public health project for influenza surveillance. This work consists of three main components: data visualization, identifying patterns of error in data and developing an automated routine for error detection, and generating prediction intervals for the flu rate. Regarding error detection, I am interested in extending techniques in Bayesian change point analysis to accommodate the wide array of patterns exhibited by the project data.

Papers