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, working with Jian Kang and Seunggeun Lee. My methodological research focuses on quantifying the uncertainties of neural network models and developing scalable MCMC algorithms for Bayesian neural networks. These methods are being applied to neuroimaging, genetic, and multiomic data. For more information, see my curriculum vitae.

Interests

  • Statistical learning
  • Neural networks
  • Bayesian nonparametrics
  • Neuroimaging
  • Genetics
  • Multiomics

Education

  • PhD in Biostatistics & Scientific Computing, ongoing

    University of Michigan

  • MS in Electrical & Computer Engineering, ongoing

    University of Michigan

  • BS (Hon.) in Mathematics, 2016

    Calvin University