Students
Current PhD Students
Ranadeep Daw
https://dawranadeep.owlstown.net/
Topics: Optimal Low-rank Expansion, Random Expansion, Bayesian Methodologies, Spatial Prediction, Spatial Aggregation, and Randomized Neural Networks
Myungsoo Yoo
https://sites.google.com/view/myungsooyoo/
Topics: Bayesian level-set methods, hybrid statistical-neural models, spatio-temporal statistics, Bayesian statistics, modeling wildfire spread, modeling tumor change
Nick Grieshop
https://nick-grieshop.netlify.app/
Topics: statistical cellular automata, Bayesian spatio-temporal statistics, modeling wildfire spread
Shuwan Wang
(Co-advised with Sakis Micheas)
https://shuwan-muffin-academic.netlify.app/
Topics: Bayesian models for collective animal movement, spatio-temporal point processes
Xiaoyu Ma
(Co-advised with Likun Zhang)
Topics: Statistical emulation with hybrid statistical-neural models; spatio-temporal extremes
Rebecca Willison
Topics: Bayesian spatio-temporal point processes, applications to wildfire Incidence, hybrid statistical neural models for emulating complex processes
Former PhD Students
Xe (Bill) Xu
Mevin Hooten
Ali Arab
Yong Song
Bill Leeds
Dan Gladish
Wen-Hsi Yang
Patrick McDermott
Toryn Schafer
Josh North
Shirley Rojas