I am a third-year Ph.D. candidate in the Department of Statistics, advised by Wing H. Wong. Broadly, my research interests lie at the intersection of Bayesian modeling & inference, statistical machine learning, robust inference under distributional shifts, and their applications to computational genomics. My current work focuses on developing efficient sampling algorithms for posterior inference. In the specific context of biomedical data science, I develop models and methodologies to extract novel insights from single-cell multiomics data, and facilitate investigators with robust analyses of single-cell datasets. Prior to graduate studies, I graduated from Stanford University with honors in Mathematical and Computational Science. Outside of research, I am an avid portrait photographer, food critic, and chocolate connoisseur.