Rui Nie

I am a first-year Ph.D. student in Biostatistics at the University of Michigan. I am interested in mordern statistical techniques motivated by and applied to smart health and individualized healthcare problems. I received my B.S. degree in mathematics and statistics at the University of Michigan with high honors and high distinction. My undergraduate honors thesis focused on machine learning on olfaction challenges and was advised by 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's Lab at School of Public Health, University of Michigan.


University of Michigan

Ph.D. in Biostatistics
August 2023 - Present

University of Michigan

B.Sc. in Honors Mathemtics and Honors Statistics
August 2020 - April 2023

Thesis and Publication

  • 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. DOI: 10.1080/10447318.2023.2278926
  • Exploring Machine Olfaction. Undergraduate Honors Thesis in Statistics (2023)

Awards & Certifications