Basic Information:
Dr. Zhibing He is an Associate Professor at the School of Statistics and Data Science, Southeast University. He received his M.S. in Statistics from Renmin University of China in 2017 and his Ph.D. in Statistics from Arizona State University, USA, in 2022. From 2022 to 2025, he was a Postdoctoral Associate at the Yale School of Public Health. Since 2025, he has been serving as an Associate Professor and Master’s Supervisor at the School of Statistics and Data Science, Southeast University.
Research Interests
His primary research interests include causal inference, biostatistics, social networks, and signal change-point detection. He has published multiple SCI papers in leading journals in statistics and biostatistics, such as the Journal of the American Statistical Association, Electronic Journal of Statistics, and Epidemiology.
Contact Info:
Email:zhibing.he@seu.edu.cn
Selected Papers (*corresponding author):
1. He, Z., Zhao, Y.*, Bickel, P., Weko, C., Cheng, D., and Wang, J. (2024). Network inference using the hubmodel and variants. Journal of the American Statistical Association, 119(546):1264–127.
2. He, Z., Cheng, D.*, and Zhao, Y. (2025+). Multiple testing of local extrema for detection of structural breaks in piecewise linear models. Statistica Sinica, major revision.
3. Cheng, D.*, He, Z., and Schwartzman, A. (2020). Multiple testing of local extrema for detection of change points. Electronic Journal of Statistics, 14(2):3705 – 3729.
4. Rescoe, C., He, Z., Lee, J., Xu, L., Spiegelman, D., Hart, J., Laden, F., and Wang, M. (2025). Addressing geographic uncertainty: Greenness and depression incidence in a nationwide us prospective cohort of women. Epidemiology, in press.
