I'm an Assistant Professor in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health,  with affiliations in the Department of Data Science at Dana-Farber Cancer Institute. I am also an Associate Member of the Broad Institute of MIT and Harvard.

I got my Ph.D. in biostatistics from the University of Pennsylvania in 2021, where I was jointly advised by Professors T. Tony Cai and Hongzhe Li. After that, I was a postdoctoral scholar at Stanford University, advised by Professor David L. Donoho.

My research interests lie at the intersection of statistics and computational biology. Currently, my research focuses on (i) statistical inference for high-dimensional data and theory of large random matrices, (ii) theoretical and computational underpinnings of manifold learning, geometric inference, and data integration algorithms, and (iii) developing interpretable machine learning methods for high-dimensional biomedical data, especially in the context of single-cell and spatial omics analyses.