Students
Ph.D. Students:
He Qi (5th year)
He works on statistical methods for forensic evidence interpretation.
Maj. Dan Hill (3rd year)
Dan works on statistical aspects of data compression
and federated learning.
Supported by the U.S. Air Force.
Jingwen Gu (4th year, part time)
Jingwen works on predictive modeling problems for
brain aneurysm research.
Priyanjali Bukke (2nd year)
Priyanjali works on post-linkage data analysis.
Co-advised with Brady West (U Michigan).
Supported by NSF Grant #2120318.
Prospective Students: Please feel free to contact me if you are interested in working with me.
Past Students:
Zhenbang Wang (graduated with a PhD in Statistical Science in Fall 2022)
Zhenbang worked on permutation-based methods for regression analysis of linked files.
Supported by NSF grants #1849876 and #2120318.
Xiaochen Zhu (graduated with a PhD in Statistical Science in Fall 2020)
Xiaochen worked on ROC curve modeling and stochastic ordering constraints.
Recipient of the 2020 Outstanding Ph.D. student award of the Washington Statistical Society.
Glenn Hui (graduated with a PhD in Statistical Science in August 2020).
Glenn worked on randomized data compression for clustering.
Felicitas Detmer (May 2017 - September 2019, advised by Juan Cebral, Bioengineering@GMU)
I was a member of Felicitas' Ph.D. committee. Felicitas worked on predictive models for aneurysm rupture.
Dan Hartig (MS student in Statistical Science)
MS thesis title: "A regression model for predicting rail transit ridership at the station level". [Dan's github]