Gali Bai

Gali Bai

Computational Biologist

Dana-Farber Cancer Institute

I am a Computational Biologist from Dana-Farber Cancer Institute. My research focuses on developing and applying cutting-edge computational tools on high-throughput omic data to uncover biological information behind Tumor-Immune interactions. Now, I am working in the Cancer Immunologic Data Commons (CIDC) Bioinformatics Working group as part of the CIMAC-CIDC project.

I use snakemake to build bioinformatics pipelines and code in R and python for data analysis. In the past year, we have developed a pipeline tool for the streamlined analysis of ChIP-seq, ATAC-seq and DNase-seq called CHIPS. Also, I put most of my efforts into implementing a single-cell data analysis pipeline called MAESTRO. Within the CIMAC-CIDC network, we collaborate with oncologists to analyze clinical trial data through our pipeline.

Download my resumé.

Interests
  • Single-cell Omics
  • Epigenomics
  • Immuno-Oncology
Education
  • M.S. in Genomics and System Biology, 2020

    Texas A&M University

  • B.S. in Agriculture and Biotechnology, 2018

    China Agricultural University