Rui Nie

ruinie@umich.edu

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.

Education

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

• 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