Currently I hold a position as a Hongshen Young Faculty at the School of Mathematics and Statistics at Chongqing University. I received my Ph.D. in Statistics from the National University of Singapore in January 2024. My thesis advisor is associate professor Zhigang YAO and I earned my B.S. in Statistics from Zhejiang University in 2018. Before joining Chongqing University, I was a postdoctoral research fellow in the Department of Statistics and Data Science at the National University of Singapore (NUS). For additional details about my academic and professional journey, please refer to my personal homepage.

My research primarily focuses on statistical inference related to singularities, including manifold fitting in Euclidean spaces, real data dimension reduction, and solving ill-posed inverse problems. In addition, I have a keen interest in machine learning, particularly in the theoretical and practical applications of neural networks.

Preprints & Publications

Equal Contribution; Correspondence

Accepted:
Li, B., Su, J., Lin, R., Yau, S.-T., & Yao, Z. (2025). Manifold fitting reveals metabolomic heterogeneity and disease associations in UK biobank populations. Proceedings of the National Academy of Sciences, 122(22), e2500001122.

Yao, Z., Su, J., & Yau, S.-T. (2024). Manifold fitting with cycleGAN. Proceedings of the National Academy of Sciences, 121(5), e2311436121.

Su, J., Yao, Z., Li, C., & Zhang, Y. (2023). A statistical approach to estimating adsorptionisotherm parameters in gradient-elution preparative liquid chromatography. The Annals of Applied Statistics, 17(4), 3476–3499. 

Preprints:
Su, J. & Yao, Z. (2025). Principal decomposition with nested submanifolds. arXiv preprint arXiv:2502.10010. 

Yao, Z., Su, J., Li, B., &Yau, S.-T. (2023). Manifold fitting. arXiv preprint arXiv:2304.07680.