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Jiafang Song

GitHub Google Scholar

Welcome

I am a fifth-year PhD student in Biostatistics at Johns Hopkins University, advised by Dr. Abhi Datta. My research focuses on Bayesian inference, variational inference methods with normalizing flows for large, complex datasets.

  • Research interests: Bayesian inference · Variational inference · Normalizing flow · Transfer Learning
  • Applications: Air pollution · Disease mapping · Global Health

News

  • Python package NeVI-Cut is available on Github.
  • R package spVarBayes is available on Github.

Contact

Baltimore · Maryland · USA
jsong100@jhu.edu