Zachary Skidmore received a BS in Biology from the Ohio State University in 2011 while working in a research lab studying hydroxyurea resistance in arabidopsis. He continued his graduate training at the University of Illinois – Chicago receiving a Master of Engineering in Bioinformatics in 2013.
As a member of the Griffith lab, Zach’s research focuses on the analysis and interpretation of next generation sequencing data as it relates to cancer biology. Specifically, he develops and employs methods in the areas of neoantigen discovery, cancer immunotherapy, precision medicine, and the analysis of large cohort data.
Zach devotes substantial effort into developing tools and resources to aid the bioinformatics community. He is the created and maintainer of the bioconductor package GenVisR, a graphics program designed enable easier visualization of genomic data. He is also the creator and primary instructor for the Genomic Data Visualization and Interpretation workshop series and maintains a number of other lab websites for open sourced bioinformatic training.