Garth Kong is a Bioinformatics Analyst II at the Allen Institute in Seattle, Washington. He develops interactive data dashboards to support internal research teams, and for the public to extract meaningful insights from complex, high-dimensional datasets. He is passionate about making computational tools accessible to scientists across disciplines, and his portfolio of work can be explored in this link: https://explore.allenimmunology.org/. Before joining the Allen Institute, Garth served as the lead computational biologist supporting leukemia research at the Oregon Health & Science University. His notable contributions include tools like GoPeaks (a peak-calling algorithm for bulk CUT&Tag data with sensible peak widths), CITEViz (an R-Shiny program for bench biologists to interactively classify single-cell populations in Seurat-processed CITE-Seq data), and several reproducible pipelines to process transcriptomic and epigenetic data. Garth's earlier experience includes a bioinformatics internship at the Stowers Institute for Medical Research, where he built variant-calling pipelines and identified genetic variants linked to abnormal eye development in cavefish. Garth holds a Master of Science in Bioinformatics and Genomics from the University of Oregon and a Bachelor of Science in Biochemistry and Biophysics from Oregon State University.