Joy Z. Zhang

I’m a PhD student at the Center for Applied Math of Cornell University, where I am fortunate to be advised by Dan Kowal.

I’m broadly interested in Bayesian statistics, particularly non-parametric regression and hierarchical modeling. Previously, I did research in statistical phylogenetics and algebraic combinatorics.

Publications

• Methodological considerations for semialgebraic hypothesis testing with incomplete U-statistics
  David Barnhill, Marina Garrote-López, Elizabeth Gross, Max Hill, Bryson Kagy, John A. Rhodes, and Joy Z. Zhang
  Submitted, 2025.
  arXiv

• Bayesian phylodynamic inference of population dynamics with dormancy
  Lorenzo Cappello (co-first), Wai Tung Lo (co-first), Joy Z. Zhang (co-first), Daniel Barrow, Ishani Chopra, Perry Xu, Shenni Liang, Andrew G. Clark, Martin T. Wells, and Jaehee Kim
  Proceedings of the National Academy of Sciences U.S.A., 122 (18) e2501394122 (2025).
  PNAS link

• Geometric analysis of admixed nodes in the neighbor-joining algorithm
  Wai Tung Lo, Michael Stillman, Jaehee Kim, and Joy Z. Zhang
  In preparation for submission, 2024.
  bioRxiv preprint

• Friezes over ℤ[√2]
  Esther Banaian, Libby Farrell, Amy Tao, Kayla Wright, and Joy Z. Zhang
  Involve: A Journal of Mathematics, 2025.
  arXiv

• Topology of augmented Bergman complexes
  Elisabeth Bullock, Aidan Kelley, Victor Reiner, Kevin Ren, Gahl Shemy, Dawei Shen, Brian Sun, Amy Tao, and Joy Z. Zhang
  Electronic Journal of Combinatorics, 2021.
  arXiv

• Frobenius templates in certain 2 × 2 matrix rings
  Timothy Eller, Jakub Kraus, Yuki Takahashi, and Joy Z. Zhang
  International Journal of Mathematics and Computer Science, 2020.
  arXiv

• Graphs with prescribed radius, diameter, and center
  Kelly Guest, Andrew Johnson, Peter Johnson, William Jones, Yuki Takahashi, and Joy Z. Zhang
  International Journal of Mathematics and Computer Science, 2020.
  arXiv