Research Interests

  • Statistical machine learning algorithms for precision medicine and computational Biology with a particular emphasis on Computational Pathology
  • Deep learning algorithms for large scale medical imaging (e.g. whole slide images)
  • Computational/statistical approaches for tissue omics e.g. characterization of the tumor microenvironment through H&E, multiplex immunofluorescence, spatial transcriptomics, etc
  • Multi-modal/view data analytic methodology
  • Statistical analysis of structured data (networks, structured sparsity, etc)


Published, under review, or manuscript available.
Computational Pathology
Network data analysis
Multi-view/integrative data analysis
Addiction medicine
Statistical foundations