Research

Shi Lab at UNC Charlotte is a computational systems biology lab, focusing on the design and development of tools and algorithms to solve large-scale computational problems in biomedical research and big data health. Specifically, we are developing computational approaches/pipelines to integrate and analyze large-scale (epi)genomic, expression, interaction, language, and cultural data sets to investigate complex diseases and infectious diseases. We are also developing techniques to preserve genetic privacy in human genomic data.

Research Areas

  • Genetic Variation (e.g. Structural Variation)
  • Epistasis Analysis
  • Quantitative Trait Loci (QTL) Mapping
  • Genome Wide Association Studies
  • Genetic Privacy and Security
  • Multi-omics Data Integration
  • Big Data Health
  • Network Science
  • Machine Learning