Simon Coetzee began his career performing bioinformatics analysis of genome-wide association studies data as part of the U19 GAME-ON consortium at University of Southern California. Since then, he has focused on the functional consequences of non-protein-coding risk regions within the context of many complex diseases. To this end, the Hazelett Laboratory has developed a software program called FunciSNP, which is an R/Bioconductor tool integrating functional noncoding datasets with genetic association studies to identify candidate regulatory SNPs (Coetzee et al., 2012). Coetzee has worked on analyzing and interpreting large genomic datasets, including next-generation sequencing from internal collaborations and downloading from public datasets such as 1,000 genomes, The Encyclopedia of DNA Elements (ENCODE), National Institutes of Health Epigenomics Roadmap and The Cancer Genome Atlas. At Cedars-Sinai, he is working with Benjamin Berman, PhD, and Dennis Hazelett, PhD, to develop automation tools for analysis and functional annotation of genetic variants from large genome and epigenome sequencing projects. Coetzee is also continuing development of novel algorithms for the analysis of gene regulatory sequences.