Department of Mathematics & Statistics

Governance & Committees

The Department of Mathematics & Statistics operates through a collaborative governance structure that supports academic excellence, transparency and shared responsibility. Faculty committees play a central role in guiding curriculum, academic standards, student progress and faculty recognition.

Below are the primary standing committees of the department.

2026-2027 Members

Graduate Studies Committee

The Graduate Studies Committee oversees graduate curriculum, academic standards, admissions recommendations and student progress in the department’s master and doctoral programs. The committee works to ensure the quality, rigor and continuous improvement of graduate education.

Yanzhao Cao, PhD
Professor, GPO
Xiaolong Li, PhD
Associate Professor
Le Chen, PhD
Associate Professor
Zachary Walsh, PhD
Assistant Professor
Roberto Molinari, PhD
Assistant Professor
Jingyi (Ginny) Zheng, PhD
Associate Professor, Co-Director, Statistics & Data Science
2026-2027 Members

Undergraduate Studies Committee

The Undergraduate Studies Committee is responsible for undergraduate curriculum, program development, academic policies and student success initiatives. The committee helps maintain strong academic standards while supporting advising, instructional quality and program innovation.

Dmitry Glotov, PhD
Associate Professor
Bingyang Hu, PhD
Assistant Professor
Haoran Li, PhD
Assistant Professor
Songling Shan, PhD
Associate Professor
Yimin Zhong, PhD
Assistant Professor
Samir Raouafi, PhD
Senior Lecturer
Yimin Zhong, PhD
Assistant Professor
2026-2027 Members

Faculty Awards Committee

The Faculty Awards Committee reviews nominations and recommends candidates for departmental and external awards. The committee supports a culture of recognition by highlighting excellence in teaching, research and service within the department.

Le Chen, PhD
Associate Professor
Bingyang Hu, PhD
Assistant Professor
Jingyi (Ginny) Zheng, PhD
Associate Professor, Co-Director, Statistics & Data Science