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Overview
My research interest lies in the intersection of statistics and biomedical data science. My current research focuses on (i) statistical inference for large random matrices and high-dimensional models, (ii) theoretical and computational underpinning of modern nonlinear embedding techniques and manifold learning algorithms, and (iii) developing principled and interpretable machine learning methods for biomedical sciences, especially for single-cell integrative genomics and multiomics.