• Sequential hypothesis testing (e-value, e-process)

• Machine learning theory

• 2013.09 - 2017.06, B.S. in Mathematics and Applied Mathematics, Hebei University, China.

• 2017.09 - 2020.06, M.S. in Applied statistics, Xi’an Jiaotong University, China.

• 2020.11 - 2025.02, Ph.D. in Statistics, Leiden University / Centrum Wiskunde & Informatica (CWI), the Netherlands.

• 2025.04 - 2026.08, Postdoctoral Fellow, The Chinese University of Hong Kong.

• 2026.09 - Present, Assistant Professor, Center for Applied Mathematics, Tianjin University.

[1] Y. Hao and P. Grünwald. E-values for exponential families: the general case. Bernoulli 32 (4), 3113-3142. 2026.

[2] P. Grünwald, T Lardy, Y. Hao, SK Bar-Lev and M de Jong. Optimal e-values for exponential families: The simple case. To appear in Information Theory, Probability and Statistical Learning - A Festschrift in Honor of Andrew Barron, (Klusowski, J., Kontoyiannis, I., and Rush, C., editors), Springer (invited paper), 2026.

[3] C. Tan, Y. Zhou, H. Ye, G Dai, J. Liu, Z. Song, J. Zhang, Z. Zhao, Y. Hao, Y. Xu. Towards understanding the calibration benefits of sharpness-aware minimization. ICLR, 87728-87748. 2026.

[4] C. Tan, J. Zhang, J. Liu, Y. Wang, Y. Hao. Stabilizing sharpness-aware minimization through a simple renormalization strategy. JMLR 26 (68), 1-35. 2025.

[5] P. Grünwald, Y. Hao, A Balsubramani. Growth-Optimal E-Variables and an extension to the multivariate Csisz'ar-Sanov-Chernoff Theorem. arXiv preprint arXiv:2412.17554. 2024.

[6] Y. Hao, P. Grünwald, T. Lardy, L. Long and R. Adams. E-values for k-Sample Tests with Exponential Families. Sankhya A 86 (1), 596-636. 2024.

[7] Y. Hao, M. Cai, L. Li. Drug repositioning via matrix completion with multi-view side information. IET Systems Biology 13 (5), 267-275. 2019.