Research

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I am interested in the development of statistical methods for the analysis of brain imaging data.  My recent or ongoing projects include:

  • High-dimensional outlier detection methods for artifact removal in fMRI data
  • Empirical Bayes shrinkage estimation of subject-level resting-state functional connectivity
  • Bayesian spatial modeling in task activation studies using cortical surface fMRI
  • Empirical Bayesian techniques to account for spatial dependence in fMRI task activation studies
  • Leveraging big fMRI datasets for estimation of subject-level and group-level resting-state networks through “template” independent component analysis (ICA)
  • Synthesis of quantitative structural MR images (e.g. quantitative T1 maps, DTI, MTR) using conventional sequences (e.g. T1-weighted and FLAIR)

 

 

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