Students
Current Ph.D. Advisees
Shalini Mahanthege, Statistics, University of Missouri-Columbia Aug 2022 - Now
Dissertation topic: Flexible modeling of multivariate extremes with Bayesian networks
Xiaoyu Ma, Statistics, University of Missouri-Columbia Aug 2022 - Now
(Co-advised with Dr. Christopher K. Wikle)
Dissertation topic: Emulating complex climate models via integrating variational autoencoder and spatial extremes
Muyang Shi, Statistics, Colorado State University Aug 2022 - Now
(Co-advised with Dr. Benjamin A. Shaby)
Dissertation topic: Gaussian process emulators for the nonstationary spatial extremes model
Joining My Group
Ph.D. students
I am only able to serve as the PhD advisor for students who are currently enrolled in the Statistics PhD program at Mizzou and who have passed the PhD Qualifying Exam. If you are interested in applying to the Statistics PhD program at Mizzou but are not yet enrolled there as a student, please visit the Mizzou Statistics graduate program information page for information about applying.
Undergraduate and Masters Students
Feel free to reach out to me about research opportunities. Priority is given to students whom I have interacted with before through courses or other opportunities. You must have taken at the minimum STAT 8710 (or their equivalent at another institution) to work with me. Students who have experience with R or Python are preferred.