I am a postdoc in the Program in Applied and Computational Mathematics at Princeton University, where I am mentored by Amit Singer and Marc Aurèle Gilles.
I completed my Ph.D. at the University of Chicago, where I was fortunate to be advised by Yuehaw Khoo and Jeremy Hoskins.
My current research interests include:
Algorithms for cryo-EM and cryo-ET;
High-dimensional scientific computing and modeling;
Boundary integral equations and fast algorithms.
Ph.D., Statistics, University of Chicago, 2026.
M.S., Statistics, University of Chicago, 2021.
B.S., Mathematics, Fudan University, 2019.
Fast operator learning for mapping correlations.
Y. Khoo, Y. Wang and S. Yang. Preprint. [arXiv].
Fast multipole method with complex coordinates.
T. Goodwill, L. Greengard, J. Hoskins, M. Rachh and Y. Wang. Preprint. [arXiv].
Temporal label recovery from noisy dynamical data.
Y. Khoo, X. Tong, W. Wang and Y. Wang. Preprint. [arXiv]
Subspace method of moments for ab initio 3-D single-particle cryo-EM reconstruction.
J. Hoskins, Y. Khoo, O. Mickelin, A. Singer and Y. Wang. SIAM Journal on Imaging Sciences. 2026. [journal] | [arXiv]
Type-I superconductors in the limit as the London penetration depth goes to 0.
C. Epstein, M. Rachh and Y. Wang. Journal of Geometric Analysis. 2025. [journal] | [arXiv]
Uniform error bound for PCA matrix denoising.
X. Tong, W. Wang and Y. Wang. Bernoulli. 2025. [journal] | [arXiv]
Summer research intern, Flatiron Institute, 2024.
Mentor: Manas Rachh.
Teaching Assistant, University of Chicago, 2021 - 2026.
STAT 234 - Statistical Methods and Applications
STAT 244 - Statistical Theory and Methods I
STAT 245 - Statistical Theory and Methods II
STAT 263 - Introduction to Statistical Genetics
213 Fine Hall, 304 Washington Rd, Princeton, NJ 08540.
Email: yw3384 (at) princeton (dot) edu.