We are a group of computational and experimental researchers that are passionate about developing analytical tools and genomic technologies for the study of human diseases. We design robust, effective algorithms for analyzing massive genomic datasets, drawing on ideas from combinatorics, computational statistics and graph theory. An application area of particul interest is in the study of microbial communities resident in the human body and their role in human health and diseases. We leverage systems-biology approaches to understand the dynamics of microbial communities and their interaction with the host. Our goal is to identify biomarkers and therapies that restore the balance between host and microbiota.

Research Interests

  • Combinatorial Algorithms in Genomics
  • Genome Assembly
  • Metagenomics & Microbial Interactions
  • Cancer Genomics
  • Viral Evolution
  • Nanopore Sequencing

Human Microbiome

Study of human-resident microbial communities

Big Data in Genomics

Algorithms for large datasets in Genomics

Cancer Genomics

Identifying cancer causing mutations

Recent Works