I am a PhD candidate in the Bioinformatics and Computational Biology (BICB) graduate program at the University of Minnesota - Twin Cities. I am pursuing my doctoral research in Dr. Ran Blekhman's lab where I focus on developing machine learning techniques for integrating human genomic and gut microbiome data to understand host-microbiome interactions in human diseases.

My PhD research is partially supported by a Doctoral Dissertation Fellowship (2019-2020) from the University of Minnesota.


  • Bioinformatics
  • Host-microbiome interaction
  • Machine Learning
  • Multi-omics


  • PhD in Bioinformatics and Computational Biology, 2016 - present

    University of Minnesota

  • MS in Computer Science, 2016

    Lehigh University

  • BE in Computer Science, 2010

    Manipal Institute of Technology, India

Selected Publications

See full list at Google Scholar

Shared and disease-specific host gene-microbiome interactions across human diseases.

Longitudinal Multi-omics Reveals Subset-Specific Mechanisms Underlying Irritable Bowel Syndrome.

Interactions between the gut microbiome and host gene regulation in cystic fibrosis.

Population dynamics of the human gut microbiome: change is the only constant.

Gut microbiota diversity across ethnicities in the United States.

Distinct microbes, metabolites, and ecologies define the microbiome in deficient and proficient mismatch repair colorectal cancers.

Colorectal cancer mutational profiles correlate with defined microbial communities in the tumor microenvironment.

HOMINID: A framework for identifying associations between host genetic variation and microbiome composition.

A Semantic Web-based System for Mining Genetic Mutations in Cancer Clinical Trials.

Partitioning OWL knowledge bases for parallel reasoning.