Biography

I am a PhD candidate of biostatistics and scientific computing at the University of Michigan, Ann Arbor, working with Drs. 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. I also believe methodological innovations come out of extensive experience in struggling with real data. For more information, see my curriculum vitae.