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 single-cell omics, microbiomics, and immunology.
MS, 05/2016, Statistics & Data Science
University of Wisconsin, Madison
BS, 06/2015, Statistics
Nankai University
PhD, 08/2021, Biostatistics
University of Pennsylvania
Postdoc, 08/2023, Statistics & Biomedical Data Science
Stanford University
SIAM Travel Award
Society for Industrial and Applied Mathematics
Saul Winegrad Award for Outstanding Dissertation
University of Pennsylvania
Lawrence D. Brown Ph.D. Student Award
Institute of Mathematical Statistics