Students

Ph.D. Students:

Priyanjali Bukke (3rd year)

Priyanjali works on post-linkage data analysis.
Co-advised with Brady West (U Michigan).
Supported by NSF Grants #2120318, 2411270.

Jingwen Gu (5th year, part time, George Mason University)

Jingwen works on predictive modeling problems for
brain aneurysm research.

Prospective Students: Please feel free to contact me if you are interested in working with me.

Past PhD Students:

5. He Qi, PhD in Statistical Science, Spring 2025, George Mason University
Dissertation title: Approaches to Likelihood Ratio Estimation for Forensic Evidence Interpretation

4. Lt. Col. Daniel Edwin Hill, PhD in Statistical Science, Spring 2025, George Mason University
Supported by a scholarship from the AFOSR.
Dissertation title: Sparse K-Means Compression for Federated Machine Learning and Linear Regression Using Sketched and Quantized Predictors

3. Zhenbang Wang, PhD in Statistical Science, Fall 2022, George Mason University
Supported by NSF grants #1849876 and #2120318.
Dissertation title: Strategies for Mitigating the Effect of Mismatch Error in the Analysis of Linked Data

2. Xiaochen Zhu, PhD in Statistical Science, Fall 2020, George Mason University
Recipient of the 2020 Outstanding Ph.D. student award of the Washington Statistical Society.
Dissertation title: Contributions to ROC Curve and Likelihood Ratio Estimation for Forensic Evidence Interpretation

1. Glenn Hui, PhD in Statistical Science, Fall 2020, George Mason University
Dissertation title: Data Compression in Statistical Learning by Means of Quantized Random Projection

Other Past Students:

Felicitas Bijari (née 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]

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