Summary
Jeff Shi is an informatics leader and research computing professional with over a decade of experience helping academic teams harness high-performance computing for complex, data-driven science. As Informatics Team Manager at the Minnesota Supercomputing Institute he leads an interdisciplinary staff of data scientists, stewards, and consultants, guiding projects from grant-writing through publication and archiving. His background as a PhD-trained computational biologist and former educator gives him a rare combination of deep statistical modeling expertise, hands-on scientific programming, and evidence-based teaching practice. He regularly builds tools, workshops, and reproducible workflows that make supercomputing accessible to domain researchers across disciplines. Comfortable translating between technical and academic audiences, he excels at shaping cyberinfrastructure to meet real research needs rather than one-size-fits-all solutions. Based in Minneapolis, he’s known for pragmatic, no-surprises consulting and a knack for untangling messy data problems into reliable pipelines.
12 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Ecology and Evolutionary Biology, Doctor of Philosophy - PhD Ecology and Evolutionary Biology at University of Michigan
Bachelor of Science - BS Biology, Bachelor of Science - BS Biology at Duke University