Daiwei (David) Zhang

Daiwei (David) Zhang

PhD Candidate of Biostatistics and Scientific Computing

University of Michigan

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.

Interests

  • Neural networks
  • Bayesian methods
  • Statistical machine learning
  • Neuroimaging
  • Genetics/Genomics
  • Multi-omics

Education

  • 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