I am a PhD student in the Department of Statistics at the University of Chicago. I have been working on computational cryo-EM reconstruction, fast algorithms and boundary integral equations and high-dimensional scientific computing and modeling.
Ph.D., University of Chicago, 2026.
Advisors: Yuehaw Khoo and Jeremy Hoskins.
M.S., University of Chicago, 2021.
B.S., 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, Simons Foundation, 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
Address: 5747 S Ellis Ave, Jones 203, Chicago IL 60637
Email: firstname+w (at) uchicago (dot) edu