| Feb 05, 2026 | New Preprint Available: sparse group principal component analysis [Arxiv]. This work proposes an efficient iterative algorithm with double thresholding steps to estimate principal components where data is collected from multi-view, especially multi-cell type in gene expression data. |
| Jan 11, 2026 | Our paper Blockwise Missingness meets AI [ArXiv] just won the ASA Biometrics Early Career Award. |
| Dec 03, 2025 | A new paper [Arxiv] on deep learning algorithm for multi-source blockwise missingness problem is accepted in Journal of Computational and Graphical Statistics. |
| Dec 01, 2025 | A new paper on sleep pattern change over pregnancy is accepted in [Frontiers in Global Women’s Health]. A series of work for maternal health can be found in [paper 1], [paper 2], [paper 3] and [abstract]. |
| Sep 30, 2025 | New Preprint Available: Blockwise Missingness meets AI [Arxiv]. Our new work tackles a long-standing challenge in statistics: semiparametric inference for data with non-monotone missing patterns. For over 30 years, the theoretically optimal estimator has been known but considered computationally intractable for practical use. We introduce an elegant RAY approximation to the optimal estimating equation, striking a crucial balance between statistical efficiency and computational feasibility. This approach can be seamlessly integrated into both classical semiparametric and modern prediction-powered inference frameworks, offering a powerful new tool for researchers. |