I am a postdoctoral researcher of biostatistics at the University of Pennsylvania. I completed my PhD in biostatistics and scientific computing at the University of Michigan, Ann Arbor, under the supervision of Jian Kang and Seunggeun Lee. My methodological research focuses on interpretable and sample-efficient statistical learning methods, with an emphasis on deep learning and Bayesian models. For applications, I am interested in spatial multi-omics, medical imaging, and genomics. I enjoy thinking about statistical problems from a computational perspective and deriving mathematical guarantees for novel algorithms. For more information, see my curriculum vitae.
PhD in Biostatistics & Scientific Computing, 2021
University of Michigan
BS (Hon.) in Mathematics, 2016