I am a PhD candidate of biostatistics and scientific computing at the University of Michigan, Ann Arbor, working with Jian Kang and Seunggeun Lee. My methodological research focuses on interpretable and sample-efficient neural network models, Bayesian deep learning, and robust principal component analysis. These methods are being applied to neuroimaging, genetic/genomic, and multi-omic data. I enjoy thinking about statistical problems from computational perspectives and deriving mathematical guarantees for novel algorithms. For more information, see my curriculum vitae.
PhD in Biostatistics & Scientific Computing, ongoing
University of Michigan
MS in Electrical & Computer Engineering, ongoing
University of Michigan
MS in Biostatistics, 2018
University of Michigan
BS (Hon.) in Mathematics, 2016
Calvin College