Current and Graduated Students

1. Jing Chang is currently working on model selection for neural networks.
2. Tracy Holsclaw, co-advised by Bruno Sansó, is currently working on modeling of unknowns in the equation of state in cosmology, to help our understanding of dark energy.
3. Waley Liang is currently working on partitioning for the convolution approach to Gaussian processes, to allow nonstationary modeling of large spatial datasets.
4. Angela Pignotti is currently working on methodology for comparing spatially correlated fields, with an application to global and regional climate modeling.
5. Matt Taddy, PhD 2008, did his thesis work primarily with Thanasis Kottas on Bayes nonparametrics, but also worked with me on computer modeling and optimization using treed Gaussian processes.
6. Weining Zhou, PhD 2006, co-supervised with Bruno Sansó; she worked on spatial problems, in particular an inverse problem for a proton accelerator and an environmetric application with Bruno Sansó.
7. Bobby Gramacy, PhD 2005, won the Savage Award for his thesis on treed Gaussian processes, a flexible yet computationally efficient approach for nonstationary spatial modeling and heteroscedastic semiparametric regression.
8. Chris Holloman, PhD 2002 from Duke University, co-supervised with Dave Higdon; he worked on multiscale methods for spatial inverse problems, including multiscale genetic algorithms.