Summary
Ben Heavner is a Senior Research Scientist at the University of Washington specializing in cloud-based bioinformatics, reproducible data workflows, and consortia-scale data architecture for NIH-funded projects. With 13 years of experience bridging computational biology, engineering, and systems administration, he leads data coordinating efforts for NHGRI consortia and collaborates on NHLBI’s BioData Catalyst. He has a Ph.D. in Biological and Environmental Engineering and a background that spans environmental fieldwork in remote locations, systems administration, and consulting engineering, which gives him a practical perspective on infrastructure and data integrity. Ben designs systems that enable collaborative analysis and scientific discovery, including R package development and batch-processing pipelines tuned for cloud environments. Known for thinking at the consortia level, he focuses on leveraging emerging NIH cloud infrastructure to streamline data sharing and releases. His combination of hands-on field experience and scalable computational practice makes him effective at turning complex biological data challenges into reproducible, shareable solutions.
13 years of coding experience
17 years of employment as a software developer
B.S., Mathematics, Natural Sciences (Physics), B.S., Mathematics, Natural Sciences (Physics) at University of Puget Sound
M.S., Civil Engineering (Environmental), M.S., Civil Engineering (Environmental) at University of Colorado Boulder
Doctor of Philosophy (Ph.D.), Biological and Environmental Engineering, Doctor of Philosophy (Ph.D.), Biological and Environmental Engineering at Cornell University