Summary
Kami Chiotti is a Senior Bioinformatician with 11+ years of experience applying computational genomics and transcriptomics to research and clinical workflows, currently optimizing cloud-based data storage and compute at UCLA Health. She blends hands-on expertise in single-cell RNA-seq, immune deconvolution, and bulk RNA analyses with practical engineering skills in containerization (Docker), workflow orchestration (CWL, Slurm), and DNAnexus user acceptance testing. At OHSU she contributed to CLIA-panel development and administered large protected datasets, demonstrating a strong compliance mindset and ability to operationalize sensitive data for investigators. Her work reducing Azure costs while preserving scalability highlights a pragmatic focus on performance and budget as systems scale. Kami’s background spans bench-to-compute roles—from directed-evolution yeast experiments and infectious-disease analytics to mentoring cross-functional teams—giving her rare perspective across experimental design, data management, and reproducible pipelines. Based in Helena, Montana, she combines rigorous Johns Hopkins training in bioinformatics with a track record of turning complex genomic data into actionable insights for research and clinical use.
11 years of coding experience
15 years of employment as a software developer
Bachelor of Science - BS, Molecular Biology, Bachelor of Science - BS, Molecular Biology at University of Great Falls
Johns Hopkins University