Research Team

I am fortunate to mentor and collaborate with a group of talented and dedicated students and trainees.

Current Master Students

Zongyue Teng

Zongyue Teng (Co-advised with Dr. Dandan Liu), M.S. (expected 2026), Department of Biostatistics, Vanderbilt University Medical Center.

Yiqing Pan

Yiqing Pan, M.S. (expected 2026), Department of Biostatistics, Vanderbilt University Medical Center.


Former Ph.D. Students (Collaborative Mentorship)

Yelie Yuan

Yelie Yuan (Advisor: Dr. Jun Yan), Ph.D. (2023), Department of Statistics, University of Connecticut. Dissertation: On assortativity of weighted directed networks.

  1. Yuan, Y., Yan, J. and Zhang, P. (2021). Assortativity measures for weighted and directed networks. Journal of Complex Networks, 9(2), cnab017. DOI
  2. Wang, T., Yan, J., Yuan, Y. and Zhang, P. (2022). Generating directed networks with predetermined assortativity measures. Statistics and Computing, 32(5), 91. DOI (Equal contribution)
  3. Yuan, Y., Wang, T., Yan, J. and Zhang, P. (2023). Generating general preferential attachment networks with R package wdnet. Journal of Data Science, 21(3), 538–556. DOI
  4. Yuan, Y., Yan, J. and Zhang, P. (2024). A strength and sparsity preserving algorithm for generating weighted, directed networks with predetermined assortativity. Physica A, 638, 129634. DOI
  5. Yuan, Y., Wang, T., Yan, J. and Zhang, P. (2024). wdnet: Weighted and Directed Network. R package version 1.2.3. CRAN (Honorable mention for the 2023 John M. Chambers Statistical Software Award)
Sydney Louit

Sydney Louit (Advisor: Dr. Jun Yan), Ph.D. (2025), Department of Statistics, University of Connecticut. Dissertation: Covariate-assisted stochastic block models: Feature selection and latent factors.

  1. Louit, S., Clark, E. A., Gelbard, A. H., Vivek, N., Yan, J. and Zhang, P. (2025). CALFSBM: A covariate-assisted latent factor stochastic block model. Physica A, 667, 130536. DOI (Winner of the 2025 JSM student paper award from the ASA sections on SPES and Q&P)