Rui Nie

ruinie@umich.edu

I am a third-year Ph.D. candidate in Biostatistics at the University of Michigan. I am interested in modern statistical techniques for wearable device data and other big data problem.

I received my B.S. degree in mathematics and statistics at the University of Michigan, where I wrote my undergraduate thesis under supervision of Professor Ambuj Tewari. I was also engaged in Explainable AI research supervised by Professor Nikola Banovic.

Currently, I work as a GSRA (Graduate Student Research Assistant) in the Song Lab at School of Public Health, University of Michigan.

Education

Thesis and Publication

• Leyao Zhang, Soumik Purkayastha, Hadar Lev-Tov, Rui Nie Robert Kirsner, Cathie Spino, & Peter XK Song (2025) Determinants of enrolment rate in 397 clinical trials for healing diabetic foot ulcers: a systematic review, BMJ open.
• Peishan Wang, Haibei Feng, Xiaobing Du, Rui Nie , Yudi Lin, Cuixia Ma & Liang Zhang (2023) EEG-Based Evaluation of Aesthetic Experience Using BiLSTM Network, International Journal of Human-Computer Interaction.
• Exploring Machine Olfaction. Undergraduate Honors Thesis in Statistics (2024). Featured in LSA Magazine.

Awards & Certifications

• Outstanding Achievement in Mathematics Award , Department of Mathematics, University of Michigan, 2023
• Outstanding Undergraduate Major Award, Department of Statistics, University of Michigan, 2023
• Keeler Merit Scholarship , Department of Mathematics University of Michigan, 2022