Caylin Hickey is a Cloud Engineer and Ph.D. candidate in Computer Science at the University of Kentucky with 10 years of experience building and operating distributed and cloud-native systems for clinical and research environments. They lead development of the GPMS genomics pipeline, integrating edge computing, automated cloud scaling, and verifiable BagIt/TAR archival to process clinical sequencing workloads cost-effectively and securely. Their background spans data science and informatics, from large-scale network and HPC monitoring to digital pathology workflows and pharmacogenomics apps, enabling practical bridges between research and clinical operations. Caylin has a track record of deploying production OpenStack and multi-petabyte Ceph storage, and of automating workflow and monitoring systems that improve throughput and traceability. Currently focused on deep learning and reinforcement learning applications in healthcare, they combine hands-on systems engineering with statistical modeling and a knack for turning research grants into operational infrastructure. An understated strength is their experience across the full lifecycle—from low-power edge device prototypes for medical education to enterprise cloud orchestration for clinical genomics.
10 years of coding experience
7 years of employment as a software developer
Pursuing Doctor of Philosophy (Ph.D.), Computer Science, Pursuing Doctor of Philosophy (Ph.D.), Computer Science at University of Kentucky
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